OnlyDataJobs.com

Glocomms
  • Dallas, TX

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000 + Bonus 

(Unlimited PTO, Daily Catered Lunches, Remote Work Options)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Applying latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules.

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proven knowledge of industry leading scripting tools such as Python, Powershell, R and SQL
Ability to document and explain technical details in a concise and understandable manner.
Solid foundation in natural language processing and machine learning
Strong English verbal and written communication skills.

Preferred Qualifications
Bachelor of Science in Computer Science, System/Computer Engineering, Cyber-Security, or Information Security
Strong mathematical background (linear algebra, calculus, probability and statistics).
Experience with knowledge management best practices
Experience with cloud based big data platforms such as AWS or Google a plus







CCG Analytics Solutions & Services
  • Atlanta, GA

Are you an analytics leader passionate about helping clients leverage their data to make better business decisions? Do you have data science knowledge and a strong ability to synthesize complex concepts and present them simply for a business audience? Are you interested in accelerating your skills and experience within the Advanced Analytics field?


Consider joining the ranks of talented and passionate CCGers who are inspired to deliver innovative solutions that bring a lasting impact to our clients and the community. Its a rewarding opportunity to engage in a work hard, play hard culture with a company that has been recognized year over year as one of Floridas Best Places to Work.


As a Data Scientistwith CCG, you will have the opportunity to work closely with fellow CCGers to understand our clients analytic needs and develop innovative solutions that enable the analytic capabilities that drive their business decision-making.


Required Skills & Experience:

  • Experience applying statistics to business contexts. A strong candidate will have previously delivered a wide range of statistical applications covering use cases like business forecasting with autoregressive techniques, customer segmentation with clustering techniques, etc.,
  • Ability to build machine learning applications for both supervised and unsupervised learning use cases,
  • Mastery of at least one of the following Advanced Analytics toolsets: R, Python, Azure Machine Learning, Spark, Alteryx. Proficiency in two or more is preferred.
  • Bachelors Degree in MIS, Statistics, CIS, or Analytics,
  • Minimum of 5 years applying advanced analytics techniques in a business setting,
  • Strong mathematical skills, including linear algebra and differential equations,
  • Mastery of advanced SQL concepts,
  • Background in Statistics and/or Economics.


Preferred Skills & Experience

  • Masters Degree in Computational Statistics, Analytics, Economics, Mathematics, CIS, Artificial Intelligence,
  • Minimum of 2 years of experience delivering consulting or project-based work,
  • Deep domain expertise in at least one of the following industries: Retail, Health Care, Education Administration, Industrial Goods, Financial Services, Marketing, Professional Services, Telco, Food Service,
  • Familiarity with various neural network architectures and the common use cases to which they apply.


Additional Benefits

  • Exceptional compensation and benefits
  • World class collaborative office space
  • Opportunities for client travel and flexible work arrangements
  • Company sponsored trips and events
  • Continuous learning and professional development opportunities


Must be able to work in the USA without CCG or Client sponsorship

Cadence Design Systems
  • Austin, TX

Cadence has a 30-year history of applying leading edge optimization and analysis algorithms to extremely complex problems in semiconductor and electronic design, verification, and analysis. We are looking for a recent graduate software engineer to join our team of collaborative EDA professionals to deliver the best in class next generation of software for physical IC applications. The software engineer will work on complex problems where analysis of data requires an evaluation of intangible variance factors to develop leading edge software for the physical design and verification of products at advanced nodes.


As a Software Engineer at our Austin site, you will be a key member on our Spectre-XPS (Fastspice) development team, which is a part of our circuit simulation product line.


The Position Requirements are:

  • BSCS/BSEE or higher
  • Expertise in C++ development
  • A good understanding of efficient software implementation concepts
  • Expertise in one or more of the following: Computational geometry / numerical analysis / graph theory / applied linear algebra / parallel and distributed algorithms
  • Python experience is a plus
TRA Robotics
  • Berlin, Germany

We are engineers, designers and technologists, united by the idea of shaping the future. Our mission is to reimagine the manufacturing process. It will be fully software defined. It will be driven entirely by AI. This will mean new products will get to market much quicker.


Now we are working on creating a flexible robotic factory managed by AI. We are developing and integrating a stack of products that will facilitate the whole production process from design to manufacturing. Our goal is complex and deeply rooted in science. We understand that it is only achievable in collaboration across diverse disciplines and knowledge domains.


We're looking for Computer Vision Lead to become a part of the team in our new Berlin office.


About the project:


We want our robots to have a perfect vision. As a team leader, you will manage a distributed team of high-skilled engineers as well as create algorithms for identification, localization and tracking of objects based on both classic computer vision and deep learning.


Your Qualifications:



  • Proficiency with C/C++, Python

  • Strong knowledge of CV algorithms, ML/DL algorithms

  • Extensive experience in OpenCV, TensorFlow, CUDA

  • Deep understanding of optimization methods, machine learning, linear algebra, theory of chances, math statistics, realtime systems

  • Experience to manage distributed teams

  • Fluency in English


Will be an advantage:



  • IoT experience

  • Matlab

  • Java

  • DSP/FPGA

  • location systems


Your tasks:



  • Working with sensors of various types (2D / 3D cameras, lidars, 3D scanners)

  • Development of computer vision algorithms

  • Solving the problem of identification and localization of the object

  • Development of visual quality control system


What we offer:



  • To join highly scientific-intensive culture and take part in developing the unique product

  • The ability to choose technology stack and approaches

  • Yearly educational budget - we support your ambitions to learn

  • Relocation package - we would like to make your start as smooth as possible

  • Flexible working environment - choose your working hours and equipment

  • Cozy co-working space in Berlin-Mitte with an access to a terrace

Cadence Design Systems
  • Austin, TX

Cadence has a 30-year history of applying leading edge optimization and analysis algorithms to extremely complex problems in semiconductor and electronic design, verification, and analysis. We are looking for a recent graduate software engineer to join our team of collaborative EDA professionals to deliver the best in class next generation of software for physical IC applications. The software engineer will work on complex problems where analysis of data requires an evaluation of intangible variance factors to develop leading edge software for the physical design and verification of products at advanced nodes.


As a Software Engineer at our Austin site, you will be a key member on our Spectre-XPS (Fastspice) development team, which is a part of our circuit simulation product line.


The Position Requirements are:

  • BSCS/BSEE or higher
  • Expertise in C++ development
  • A good understanding of efficient software implementation concepts
  • Expertise in one or more of the following: Computational geometry / numerical analysis / graph theory / applied linear algebra / parallel and distributed algorithms
  • Python experience is a plus
GeoPhy
  • New York, NY

We seek a Machine Learning Engineer to support development of a suite of valuation models and data products. This person would work alongside software engineers building the technology to manage our data, and the data scientists conducting statistical analysis and developing models. As a Machine Learning engineer, you would complement these efforts by demonstrating how ML can enhance approaches to data discovery, feature engineering, and predictive modelling.


What you'll be responsible for



  • Develop proof-of-concept ML models to solve problems for a variety of data and domains, which might include but not limited to:


    • -text extraction and classification from millions of pages of technical reports;

    • -estimating building density from satellite images; or,

    • -training ML models on semantically related public records.




  • Explain the effectiveness and assumptions of your approach and guide collaborative research and methodology development with appropriate technical rigor.

  • Build predictive models in production at scale.

  • Contribute to decisions about our technology stack, particularly as it relates to end-to-end ML model and data flow and automation.

  • Stay current with latest ML algorithms and methods and share knowledge with colleagues in data science and engineering and externally as appropriate.


What we're looking for



  • Critical professional skills include: a curiosity to discover new approaches to problem-solving, a drive to initiate ideas and collaborate with colleagues to see them through, and an ability to communicate technical material clearly.

  • Skills in Python or R (+Scala a bonus), including ML libraries (e.g. SKLearn, NumPy, SciPy), SQL, parallelization and tools for large scale computing (e.g. Spark, Hadoop), matrix algebra, and vectorization

  • Experience with at least one of the DL frameworks (e.g. PyTorch, Caffe, TensorFlow, Theano, Keras) and a perspective on what distinguishes them

  • Experience with supervised and unsupervised learning algorithms, including cluster analysis (e.g. k-means, density-based), regression and classification with shallow algorithms (e.g. decision trees, XGBoost, and various ensemble methods) and with DL algorithms (e.g. RNN w/ LTSM, CNN)

  • Experience with advanced methods of ML model hyper-parameter tuning (e.g. Bayesian optimization)

  • Deep understanding of statistics and Bayesian inference, linear algebra (e.g. decomposition, image registration), vector calculus (e.g. gradients), time series analysis (e.g. Fourier Transform, ARIMA, Dynamic Time-Warping)

  • Proven track record of building production models (batch processing at minimum, online ML a bonus)

  • Experience in at least one of the following data domains: highly disparate public records, satellite images, text in various states of structure

  • Experience with remote computing and data management (e.g. AWS, GCP suite of tools)


Bonus points for



  • Being a technical lead on a successful ML-based product

  • Doing applied research (at graduate school level or equivalent) with: 1) Geospatial analysis, 2) Image processing (e.g. denoising, image registration), 3) NLP, or 4) ML with semantic databases

  • Experience with streaming models or online ML

  • Authored technical publications or presented work in the field

  • Domain expertise in real estate or the built environment


What we give you



  • You will have the opportunity to accelerate our rapidly growing organisation.

  • We're a lean team, so your impact will be felt immediately.

  • Agile working environment with flexible working hours and location, career advancement, and competitive compensation package

  • GeoPhy is a family friendly company. We arrange social activities to help our employees and families become familiar with each other and our culture

  • Diverse, unique colleagues from every corner of the world

MSH Talent Solutions
  • Phoenix, AZ

Our client is embarking on an exciting transformation driven by a high-energy newly formed Machine Learning team of high performers that is looking to build the next generation platform for democratizing Machine Learning in Amex on the Cloud. This group is nimble and creative with the power to craft our technology and product roadmap.


As an Engineer in our Machine Learning team, you will be responsible for building and delivering technical solutions and capabilities on the platform to support our entire ML-driven application portfolio across the enterprise. You will be challenged with identifying creative ideas and proof of concepts to deliver against the existing and future needs of our customers. 


As an Engineer, you will play a key role in the understanding of product owner strategy and collaborate with peers and technology partners to translate complex user stories into successful product releases. If you have the talent and desire to deliver innovative products and services at a rapid pace, serving our customers seamlessly across through cognitive solutions, this would be the right fit for you!


Your responsibilities would include:

    • More than 80%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in the Enterprise
    • Collaborate with product/business management and engineering departments to understand company needs and devise possible solutions.
    • Leading your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application.
    • Architecting, estimating and planning technical solutions to problems
    • Research and develop statistical learning models for data analysis
    • Implement new, highly scalable platform components and tools using machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Results Prediction and Time Series predictions
    • Actively participate in team and company-wide architecture and engineering discussions and forums


Qualifications:

To be successful in the role, the following experience is required:

    • At least 3+ years of dynamic experience with a broad set of tech stacks, hands-on Machine Learning and Big Data is mandatory as part of the job
    • At least 3+ years of Python experience.
    • Deep expertise in building scalable Machine Learning powered applications
    • Experience with production grade applications. Ideally with an application that demonstrates Machine Learning to power its decisions
    • Highly motivated, individual contributor who can manage relationships in a cross-functional environment.
    • Proven track record of working with multiple stakeholders
    • Extensive background in data mining and statistical analysis
    • Excellent pattern recognition and predictive modeling skills
    • Prefer Experience in creating and managing capabilities and solutions for :
      • Customer segmentation
      • Product sales and service offer prediction
      • Risk analytics and regulation
      • Usage and Alert from real time data
      • Customer complaint resolution
      • Consumer feedback and interaction analysis
    • Familiarity and experience with Cloud is a plus.


Quantitative and Software Development Skills

    • Master of Science or higher in a quantitative discipline, e.g. Data Science, Statistics , Mathematics, Computer Sciences or similar Bachelor of Science with 5 years of experience in a highly quantitative position
    • High proficiency with the following technologies:
        • Spark, SparkML
        • Python
        • Big Data
        • SQL / noSQL
        • Java
        • Web Frameworks : Flask, Django
        • Git and GitHub
    • Modeling proficiency:
        • Linear models & descriptive statistics
        • Natural Language Processing
        • Bayesian Inference
        • Decision Tree Models & Boosting
        • Advanced time series forecasting
        • Linear Algebra & Spectral Methods
        • Deep Learning / Tensorflow / Keras
        • Reinforcement Learning
    • Have the ability to design or evaluate intrinsic and extrinsic metrics of your models performance which are aligned with business goals.
    • Performing hands-on software and strategy development, typically spending most of the time actually writing code, doing proof of concepts and conducting code reviews
    • Developing deep understanding of integrations with other systems and platforms within the supported domains.
    • Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets
    • Quickly generate and updating prototypes from concept to testing while soliciting feedback
    • Finalizing prototypes into functional ML components and deploy on our cloud platform
    • Embrace emerging standards and promoting best practices
Walmart
  • Dallas, TX
What You Will Do At Walmart

Position Description

Walmart Technology is looking for exceptional research engineers to join our team focused on delivering computer vision-enabled capabilities that can increase revenue, reduce costs and drive a differentiated brand experience that serve 200M+ customers a week.

As a member of our vision team part of our Digital Enterprise Services division, you will have the opportunity to work on massive data in Walmart. You will be responsible for creating cutting-edge algorithms and products that can understand visual environments and interact with users in different ways.

We are looking for people with the right blend of technology skills, business knowledge and a passion for revolutionizing Digital Enterprise Services. Be a part of the digital transformation revolution!

  • Explore and prototype solutions or products at intersection of computer vision, image processing, applied machine learning by leverage existing or new vision or machine learning algorithms.
  • Solid understanding on linear algebra, image processing, computer vision and machine learning knowledge.
  • Develop and prototype computer vision algorithms in Python or C++
  • Familiar with one or two deep learning frameworks: Tensorflow, Pytorch/Caffe2, Keras etc.
  • Hands on experience in one or more of the following areas: real-time object detection/segmentation/recognition/tracking, visual scene understanding, 3d vision, augmented reality
  • Experience with C++/CUDA/TensorRT and model compression is a plus
  • M.Sc./PhD in Electrical Engineering/Computer Science/Computer Engineering or similar technical degree. Ph.D. degree is preferred.
  • Strong publication records in leading conferences such as CVPR, ICCV, ECCV, NIPS, ICML or PAMI is a plus.

Minimum Qualifications
  • Bachelor of Science and 6 years' data science experience OR Master of Science and 4 years' data science experience OR PhD.

Company Summary

Additional Preferred Qualifications

What started small, with a single discount store and the simple idea of selling more for less, has grown over the last 50 years into the largest retailer in the world. Each week, over 260 million customers and members visit our 11,695 stores under 59 banners in 28 countries and e-commerce websites in 11 countries. With fiscal year 2017 revenue of $485.9 billion, Walmart employs approximately 2.3 million associates worldwide. Walmart continues to be a leader in sustainability, corporate philanthropy and employment opportunity. It's all part of our unwavering commitment to creating opportunities and bringing value to customers and communities around the world.
Wellframe
  • Boston, MA

As a Data Scientist at Wellframe, you will leverage your statistical thinking, problem solving skills, communication skills, and curiosity to help us positively impact patient care. You will work alongside healthcare domain experts to uncover novel insights from raw data, and  train production grade models that will augment our platform’s capabilities. By staying up to date on cutting edge innovations in machine learning and artificial intelligence, you will introduce new ways to help patients get the attention and care they need. 



Example projects you’ll work on:




    • Enable care management teams to connect better with patients by leveraging machine translation models that help them converse in the patient’s native language.

    • Maximize the impact of care management teams by building targeting models that identify patients who would benefit the most from health management.

    • Create prescriptive models that guide care managers towards the next best action to improve the health of patients.



Our ideal candidate has:




    • A B.S. or M.S. degree in either Math, Computer Science, Physics, Biostatistics, Epidemiology or closely related quantitative field of study

    • A deep understanding of machine learning fundamentals: multivariable calculus, linear algebra, optimization, probability, and statistics

    • Proficiency in  Python, R or both

    • Experience in building predictive models and performing statistical analysis starting from raw data

    • Up to date knowledge of innovations in machine learning and artificial intelligence

    • Excellent communication skills

    • Commitment to helping healthcare organizations improve the care they deliver to patients




Tools we use include:




    • Python, R, TensorFlow, Scikit-learn.

    • Airflow, Dataproc, BigQuery, Looker, Jupyter Notebooks. 

    • Kubernetes, Google Cloud Platform.




Wellframe, Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Personiv
  • Austin, TX

Responsibilities:


    Desig
    • n, and develop cutting edge AI technologies (ML models, algorithms, etc) in medication management, patient behavioral modeling, and anomaly detection
    • Work with product and design teams to plan how to shape the product and communicate data insights to non-experts
    • Execute cohort studies and drive analyses to understand the patients behavior and identify opportunities for improving our product(s).
    • Participate as a technical member of an Agile team developing Clients AI Enablement Platform and related software products
    • Tune and optimize existing Machine Learning and Computer Vision algorithms as well as implement new AI capabilities in the platform
    • Test and evaluate 3rd party ML/CV tools and implementations
    • Integrate ML/CV algorithms into the platform, including resource provisioning, installation, scaling, validation, and capturing results for customers and for feedback to research.
    • Investigate, design and implement data transformations, API wrappers and output formats for ML/CV algorithms


Requirements:


    Maste
    • rs or Ph.D. degree in Engineering, Computer Science, Statistics, Mathematics or related field with coursework relevant to machine learning and computer vision
    • 3+ years of experience with machine learning, deep learning, computer vision, image processing, data mining, and/or data and image analysis tools
    • 7+ years of experience in developing software in Java, C++/C, and/or Python
    • Experience with deep learning frameworks (Tensorflow, Keras, Caffe2, Torch/PyTorch)
    • Hands-on experience with statistical analysis and data mining tools, such as R, Python, Scala, etc.
    • Experience with computer vision including low-level image processing and a variety of computer vision tasks (e.g., detection, recognition, segmentation, localization, classification, tracking, and understanding)
    • Experience using machine learning and computer vision tools and libraries in a Linux environment such as OpenCV/FastCV, numpy, scipy, and scikit-learn
    • Experience integrating ML algorithms into cloud platforms, including resource provisioning, installation, scaling, and validation
    • Experience implementing data transformations, API wrappers and output formats for ML/CV algorithms
    • Experience in performance tuning and optimizing the use of GPUs or other hardware resources for deep learning and data/image processing
    • A solid foundation in linear algebra, statistics, numerical methods, and machine learning algorithms
    • Hands-on, in-depth experience with AWS or other cloud infrastructure technologies
    • Experience practicing OOP, TDD, CI/CD in an agile software development environment
    • Crowdsourcing experience a plus, but not required
    • Start-up experience and entrepreneurial spirit highly preferred
    • Excellent communication skills (verbal, written, presentation)
    • Ability to handle multiple competing priorities in a fast-paced environment
H1
  • New York, NY
Overview
Our team is building a suite of machine learning tools to help solve problems in the healthcare and life science space. This includes the classification of researchers and physicians to their scholarly research, simulating how effective drug compounds will be, and much more.

We're growing fast in a field that is also growing fast, so we're looking for people who want to grow fast too.  We think an environment that is supportive, collaborative, and sophisticated is the key to making this happen.
Experience and Skills

Our data scientists do these kinds of things:
Deploy machine learning techniques against a set of collected and cleaned data.  We’ve separated the data engineering and data science roles at H1 because we want our data scientists to spend their time analyzing data, not cleaning it.

Work within a Spark/Scala/Python environment from notebooks through mature pipelines.  Our data scientists are able to implement algorithms in code that runs at scale.

Tune and tweak common algorithms for the right result.  Our data scientists are able to tell us how the shape of the data influences the performance of the algorithm, and what the trade-offs are between using one algorithm over another.

Find an academic paper which explains a new machine learning concept, and implement it.  This involves not only coding the application, but testing against real-world data and potentially making improvements.
All candidates must have a very thorough understanding of linear algebra and statistics.  This means understanding various fundamental matrix decompositions and their effects, various statistical distributions and their applications.  
Toyota Connected
  • Dallas, TX

Do you want to change the way the world works?

Do you love to inspire and innovate?

Do you want to build solutions that are used by millions of people every day?

If so, we are looking for Senior Data Scientist like you to solve complex problems at Toyota Connected

This Is What You'll Do...

  • Developing and enhancing algorithms based on telematics data
  • Design, build, and deploy internal tools and processes to operationalize Machine Learning best practices within our existing platform and to automate manually intensive Data Science tasks
  • Sharpen our data science capacity by mentoring team members on building predictive models, experimental methodologies, and causal inference approaches
  • Develop and foster collaborative relationships with product, business and engineering teams to effectively serve our customers needs
  • Applies technical workflows for image processing, detection and tracking, full-motion-video analysis and object recognition

What we are looking for

  • Minimum 7 years of data science experience, with expertise in statistics, signal processing and machine learning
  • Minimum of 3 years using Python or Scala
  • Minimum 2 years using Spark
  • Experience working with public cloud, preferably AWS
  • Experience in leading/guiding data science teams with industry best standards
  • Experience with ML frameworks such as TensorFlow, Keras, Spark MLlib, Theano etc
  • Good understanding on FPGAs vs. GPUs vs. ASICs
  • Ability to set expectations and confidently talk to AI hype versus reality
  • Advanced knowledge of Physics and Linear Algebra
  • Experience with Sagemaker a plus
  • Experience in Computer Vision, Deep Learning is a plus
  • Experience working with telematics data is a plus

Whats in it for you?

  • Money. Money. Money. Mooonaaay! Great pay and bonuses.
  • Unlimited time off. Seriously! You wont run out of sick or vacation time here. You'll be treated like the professional we know you are and left to manage your own time and work load.
  • Four months of parental leave. We want new moms and dads to have an opportunity to lose as much sleep at home as possible taking care of those new additions.
  • 401k with generous company match that is fully vested Day One. This is the perfect plan to get you into that retirement beach house in the Bahamas.
  • Yearly gym membership reimbursement. We have a Toyota Connected fit club that loves plank competitions!
  • Fun game room for the gamer that lives inside you! Xbox, virtual reality, and Nintendo Switch gamers live here and are always ready for their next opponent.
  • Free catered lunches. EVERY. DAY. Awesome healthy lunches catered in from different local restaurants. Fridays are cheat days, so you can get your carbs on!
  • Two fully stocked Nespresso bars for your coffee and tea fixes.
  • Two kitchens stocked full of healthy snacks including fresh fruit, almonds, mixed nuts, pretzels, trail mix, and flavored waters. Nobody is hangry here!
  • Waffle Wednesdays! Fresh waffles on Wednesday afternoons to get you through Hump Day!
  • Bi-weekly company happy hours so you can hang with your Toyota Connected friends while different teams share the cool technologies we are using, the awesome products we are building, and celebrate accomplishments weve made.
  • Free covered garage parking to shield your vehicle from those sneaky storms and to protect your buns from the Texas sun
  • Toyota and Lexus vehicle discounts. Buy a new Toyota or Lexus and still have a fat wallet!
  • No dress code! Come as you are!

Who Are We?

Toyota Connected is a new company created to infuse the power of big data and cloud intelligence into all aspects of the mobility experience so that driving a Toyota or Lexus is more personal, intuitive and safe.  We create and enable technologies that delight, simplify and connect the lives of those who use our products.  We believe this mobility revolution will empower our customers to use their vehicles in an array of exciting new ways. We support, celebrate and thrive on the opportunity to provide Mobility for All.

Making a connected life a more human experience takes humans from all walks of life. Toyota Connected celebrates and is committed to a diverse and inclusive workplace that embraces you regardless of your gender, religion, sexual orientation, skin color, age, disability, military or veteran status, big shot relative, or Instagram fame. Different makes us awesome.

Google
  • New York, NY
In school or graduated within last 6 months? We encourage you to apply to openings on the Students Job Site.

Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA

Minimum qualifications:


  • BA/BS degree in Computer Science, related technical field or equivalent practical experience.

  • Experience with one or more general purpose programming languages including but not limited to: C/C++ or Python

  • Experience with linear algebra, calculus and statistics

  • Machine learning experience


Preferred qualifications:


  • MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.

  • Strong computer systems experience.

  • GPU programming experience.

  • Large data analysis and visualization experience.

  • Exposure to industry or academic research.

  • Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to learn about them.

About the job

We do research differently here at Google. Our team of Research Scientists aren't cloistered in a secret lab but are embedded throughout the engineering organization, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

You manage individual project priorities, deadlines, and deliverables, adapting to changes and setbacks in order to manage pressures, proving and applying theories through research efforts to develop new and improved products, processes, or technologies.



Research and Machine Intelligence is a high impact team thats building the next generation of intelligence and language understanding for all Google products. To achieve this, were working on projects that utilize the latest techniques in Artificial Intelligence, Machine Learning (including Deep Learning approaches like Google Brain) and Natural Language Understanding. Our work gets used by product teams across Google, including Search, Maps and Google Now.



As a Research Software Engineer in the Google Brain team, you work and collaborate closely with Research Scientists on the team. You have the flexibility to switch projects as our research focus shifts and evolves. We need our engineers to be versatile and passionate about managing new problems.



This role bridges the gap between Software Engineer and Research Scientist. We are looking for great software engineers who also have experience with language understanding and perception (speech, images, video) - as well as improving algorithms. We work with teams across Google to make their products better and make Moonshots possible. In this role, you'll work alongside Research Scientists in the Google Brain team to bring their ideas to life by implementing algorithms, running experiments and building prototypes.

There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.

Responsibilities


  • Participate in cutting-edge research in artificial intelligence and machine learning applications.

  • Develop solutions for real-world, large-scale problems.

At Google, we dont just accept differencewe celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by emailing candidateaccommodations@google.com.
FocusVision Worldwide
  • Stamford, CT

At FocusVision, recommending data collection and reporting tools isn’t just a nice-to-have feature, it’s a key capability for delighting our users and our customers. Your skills in the mathematics and design of recommendation systems, as well as in data science and collaborative product development, will help accelerate FocusVisions growth as we take our applications to the next level.


You have experience in applying mathematical techniques to hard business problems and in development of software used by millions of people with differing wants and needs. Your impact-driven, interested in bringing best-practices to life, motivated by clean designs, and love the process of diving in, figuring out what you need to, and making things happen, both for today and for the long-term.



 JOB DUTIES:



  • Develop robust, knowledge-driven job listing (and other content) recommender systems for FocusVision.

  • Work directly with the CPO and Head of Innovation & Commercialization, and the Product and Engineering teams to ensure were providing the best possible Search & Discovery process for data collection and operational support.

  • Research open questions, such as how to best evaluate recommendation systems with dynamic visibility constraints, or how to best handle complex interactions between recommendations and stated user preferences.

  • Get deep in the analysis of how our users use recommendations in their job-seeking process, and suggest new approaches to delighting them.



REQUIRED SKILLS AND ABILITIES:



  • Strong understanding of linear algebra, such as from an MS or PhD in Computer Science, Applied Math, or Statistics.

  • Strong understanding of the theory and practice of recommender systems, including collaborative filters based on matrix factorization, similarity-based recommenders, and ensemble methods. You're comfortable thinking through approaches to hard problems such as cold-start recommendations and real-time recommendation systems.

  • Substantial expertise with a high-level programming language, Python preferred but not required. Experience with the tools used in production software engineering, including source control, code review, and testing frameworks. Comfort with Linux and modern cloud-based web application designs.

  • Comfort with SQL and large database systems such as Redshift.

  • Experience with Machine Learning tools and techniques including feature engineering, hyperparameter optimization, ensemble methods, and neural networks.

  • Experience with Data Science tools and techniques including data visualization and exploratory data analysis, reproducible research, and statistical tools such as multiple regression.

  • Great communications skills, including the ability to listen deeply and learn what people need, not just what they say they want.

  • A demonstrated hunger to learn more -- about technology, about our business, about everything.

  • The ability to thrive in a fast-paced startup environment, where you’ll be writing the rules and collaborating with the entire business.



NICE TO HAVE:



  • Experience studying Search Interfaces and Human-Computer Interaction.

  • Experience with Natural Language Processing, including word2vec and similar approaches to extracting content from text data.

  • Experience working with data in the AWS ecosystem.

  • Experience in the big data ecosystem (Hadoop, Spark, or other distributed data systems).

  • Public evidence of your desire to learn and share what you’ve learned, such as code on GitHub, or talks at conferences or Meetups, or blog posts.



REPORTS TO: Head of Qualitative Innovation



LOCATION: Stamford, CT

DOT Technology Corp.
  • Regina, SK, Canada
  • Salary: C$70k - 160k

Object recognition is an essential technology used in autonomous vehicles where the main goal is understanding scene context and detecting instances of objects in image frames. Different approaches exist for object recognition including computer vision (for feature extraction), machine learning (for classification) and deep learning (for black box approach) techniques. After recognition and detection, localization and tracking in the image frame is required which can be achieved using common computer vision techniques. Ultimately, the successful applicant has a strong background in computer vision, mathematical optimization and deep learning as well as a basic understanding of the common sensors used on autonomous vehicles. The main goal for this position is to help develop a software module to recognize scene context, detect objects in the image frame and localize and track the objects using the information available from a multitude of sensors including LiDAR, camera, radar, ultrasonic, GPS and etc. This software module will help the machine to operate in the field safely. 


We would like you to have:



  • Bachelor’s degree in engineering or computer science with hands-on experience. Master’s degree or PhD preferred.

  • Strong background in optimization, linear algebra, computer vision and machine learning

  • Strong programming skills in Python or C/C++

  • Hands-on experience working with computer visions techniques and tools

  • Hands-on experience working with deep learning frameworks (TensorFlow, Caffe, and etc.)

  • Experience with common sensors on autonomous vehicles (LiDAR, radar, ultrasonic, and etc.)

  • Experience developing embedded firmware for safety-critical systems in production environments

  • 2+ years of relevant work experience


It would be great if you also had:



  • Familiarity with CAN bus and GPS

  • Hands-on experience building robots!


In this role you will:



  • Assess project requirements, undertake relevant research, and implement new and/or utilize existing algorithms

  • Create testing procedures, simulation models, and write test driven code

  • Manage, train, and tune state-of-the-art deep neural networks

  • Source, evaluate and test sensors

  • Test the product in controlled and real world situations

  • Collect, process, and manage training data, including training and testing pipelines

  • Continual improvement and management of DOT autonomous driving systems

  • Ensure safe operation of DOT

Broadcom Limited
  • San Diego, CA
Job Description
Do you enjoy analyzing data? Creating products that solve real-world problems? Working with colleagues to find novel ways to approach difficult problems?
We are looking for people with advanced degrees (MS or PhD) in an analytical field, e.g., Physics, Statistics, Electrical Engineering, Computer Science, Oceanography, Applied Mathematics, Data Science. You should understand how to apply mathematics to real-world problems, including linear algebra, vector calculus, etc.
We Are Looking For People Who
  • Enjoy scientific programming and coding for production, and who relish the idea that their code will enable billions of dollars of transactions in a single day
  • Are comfortable learning new business domains in which to apply machine learning and AI
  • Can communicate complex and sophisticated ideas to people without scientific backgrounds
  • Enjoy working in a team environment
  • Are comfortable with reasoning through probabilities and statistics, as well as delving into detailed deterministic thinking and using individual examples
You Will Be Responsible For
  • Working on a team under the leadership of other Data Scientists
  • Communicating with clients, internal and external, to understand the business problems that we can solve using machine learning and AI
  • Analyzing and understanding data from different domains, including data cleansing and detailed analysis of relationships between fields
  • Developing supervised, unsupervised, and reinforcement models in the laboratory
  • Coding models for production, with particular attention to efficient use of computational resources and robustness of the code
  • Working with Software Engineers and SaaS Operations to package and deploy the models
  • Monitoring the models to ensure that they are working properly, and generalizing to new data
  • Working with clients to ensure that they are using the results of the models effectively.
Skills needed include: excellent written and verbal communications, and presentation skills.
Languages needed include a subset of: Python, C++, Unix scripting, SAS, PySpark, Scala, Perl, C
Strong command of Unix is preferred.
Experience: Graduate degree plus 4 years industry experience in a relevant area, including taking machine learning into a production environment.
If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.
Toyota Connected North America
  • Dallas, TX

Do you want to change the way the world works?

Do you love to inspire and innovate?

Do you want to build solutions that are used by millions of people every day?

If so, we are looking for Senior Data Scientist like you to solve complex problems at Toyota Connected

This Is What You'll Do...

  • Developing and enhancing algorithms based on telematics data
  • Design, build, and deploy internal tools and processes to operationalize Machine Learning best practices within our existing platform and to automate manually intensive Data Science tasks
  • Sharpen our data science capacity by mentoring team members on building predictive models, experimental methodologies, and causal inference approaches
  • Develop and foster collaborative relationships with product, business and engineering teams to effectively serve our customers needs
  • Applies technical workflows for image processing, detection and tracking, full-motion-video analysis and object recognition

What we are looking for

  • Minimum 7 years of data science experience, with expertise in statistics, signal processing and machine learning
  • Minimum of 3 years using Python or Scala
  • Minimum 2 years using Spark
  • Experience working with public cloud, preferably AWS
  • Experience in leading/guiding data science teams with industry best standards
  • Experience with ML frameworks such as TensorFlow, Keras, Spark MLlib, Theano etc
  • Good understanding on FPGAs vs. GPUs vs. ASICs
  • Ability to set expectations and confidently talk to AI hype versus reality
  • Advanced knowledge of Physics and Linear Algebra
  • Experience with Sagemaker a plus
  • Experience in Computer Vision, Deep Learning is a plus
  • Experience working with telematics data is a plus

We offer:

  • Money (We pay well and we reward excellence)
  • An environment of A-players. We're careful about who we hire because we find that people who are at the top of their field like working around others who know what they're doing.  
  • Freedom to work with modern technologies in a green field environment. We care that you get your work done, but you will get to help decide on how we can leverage modern technologies to solve our challenges.
  • Unlimited time off. No one is tracking your time here. You'll be treated like the professional we know you are and left to manage your own time and work load.  
  • Four months of parental leave. We want new moms and dads to have an opportunity to tend to their new or growing family.  
  • Nice perks like 401(k) with generous company match, gym memberships, game rooms, free food, team activities and happy hours.

Who is Toyota Connected?

Toyota Connected is a new company created to bring big data and cloud intelligence into all aspects of the mobility experience so that driving a Toyota or Lexus is more personal, intuitive and safe.  We create and enable technologies that delight and simplify the lives of those who use our products and empower them to think of, and use their vehicle in whole new ways.

Toyota Connected is proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

GeoPhy
  • Delft, Netherlands

We seek a Machine Learning Engineer to support development of a suite of valuation models and data products. This person would work alongside software engineers building the technology to manage our data, and the data scientists conducting statistical analysis and developing models. As a Machine Learning engineer, you would complement these efforts by demonstrating how ML can enhance approaches to data discovery, feature engineering, and predictive modelling.



What you'll be responsible for



  • Develop proof-of-concept ML models to solve problems for a variety of data and domains, which might include but not limited to:


    • -text extraction and classification from millions of pages of technical reports;

    • -estimating building density from satellite images; or,

    • -training ML models on semantically related public records.




  • Explain the effectiveness and assumptions of your approach and guide collaborative research and methodology development with appropriate technical rigor.

  • Build predictive models in production at scale.

  • Contribute to decisions about our technology stack, particularly as it relates to end-to-end ML model and data flow and automation.

  • Stay current with latest ML algorithms and methods and share knowledge with colleagues in data science and engineering and externally as appropriate.



What we're looking for



  • Critical professional skills include: a curiosity to discover new approaches to problem-solving, a drive to initiate ideas and collaborate with colleagues to see them through, and an ability to communicate technical material clearly.

  • Skills in Python or R (+Scala a bonus), including ML libraries (e.g. SKLearn, NumPy, SciPy), SQL, parallelization and tools for large scale computing (e.g. Spark, Hadoop), matrix algebra, and vectorization

  • Experience with at least one of the DL frameworks (e.g. PyTorch, Caffe, TensorFlow, Theano, Keras) and a perspective on what distinguishes them

  • Experience with supervised and unsupervised learning algorithms, including cluster analysis (e.g. k-means, density-based), regression and classification with shallow algorithms (e.g. decision trees, XGBoost, and various ensemble methods) and with DL algorithms (e.g. RNN w/ LTSM, CNN)

  • Experience with advanced methods of ML model hyper-parameter tuning (e.g. Bayesian optimization)

  • Deep understanding of statistics and Bayesian inference, linear algebra (e.g. decomposition, image registration), vector calculus (e.g. gradients), time series analysis (e.g. Fourier Transform, ARIMA, Dynamic Time-Warping)

  • Proven track record of building production models (batch processing at minimum, online ML a bonus)

  • Experience in at least one of the following data domains: highly disparate public records, satellite images, text in various states of structure

  • Experience with remote computing and data management (e.g. AWS, GCP suite of tools)



Bonus points for



  • Being a technical lead on a successful ML-based product

  • Doing applied research (at graduate school level or equivalent) with: 1) Geospatial analysis, 2) Image processing (e.g. denoising, image registration), 3) NLP, or 4) ML with semantic databases

  • Experience with streaming models or online ML

  • Authored technical publications or presented work in the field

  • Domain expertise in real estate or the built environment



What we give you



  • You will have the opportunity to accelerate our rapidly growing organisation.

  • We're a lean team, so your impact will be felt immediately.

  • Agile working environment with flexible working hours and location, career advancement, and competitive compensation package

  • GeoPhy is a family friendly company. We arrange social activities to help our employees and families become familiar with each other and our culture

  • Diverse, unique colleagues from every corner of the world

Shape
  • Headquarters: San Francisco, C
Headquarters: San Francisco, CA URL: https://shapescale.com/ [https://shapescale.com/] Based in San Francisco, we are a team with a passion for great design, user experience, hardware, software, and sports. Together we share the commitment to create products that connect the human body with technology in a magical way. We're working to become the most empowering consumer company of the 21st century. Shape is backed by renowned investors such as Y Combinator and Stanford StartX. Our first product,ShapeScale, is the first photorealistic 3D body scanner that shows you how your body shape changes over time. It's not only a game changer for fitness but also an enabler for a number of fashion, healthcare, and AR / VR applications. We have recently started to take pre-orders for ShapeScale and have thus far received thousands of pre-orders. Shape is looking for a talentedSenior Data Scientist/ Geometric Deep Learningwith an entrepreneurial spirit to join our team and help us achieve our technology goals. In this role you will work onon the acquisition, processing, and analysis of the data captured by ShapeScale and develop state-of-the-art 3D deep learning and machine learning methods.This role is perfect for driven individuals who are excited to take on large responsibilities and solve unique technical challenges. Recent PhD-graduates and experienced candidates are welcome to apply for this role. The candidate of choice will be hired into the level that is commensurate with their educational background and experience. What You'll Do * Develop existing and new body shape parameterization, segmentation, correspondence, registration, posture estimation and analysis methods and algorithms. * Design, build, train and optimize 3D deep learning and computer vision algorithms with a focus on high performance and efficient implementation. * Working with founding team members to define technology stack, understanding the business needs and choosing the right languages, tools, libraries, platforms, and partners for the job. * Lead the efforts on designing, building, and labeling Shape's dataset of 3D human body scans. * Find the best solutions to computer vision problems, innovating new network architectures when necessary, and knowing when to use existing ones. * Analyze and prototype key 3D deep learning and data analytics algorithms and applications. * Define Deep/Machine Learning architecture best practices and keep up to date with the evolving deep learning frameworks. * Develop or modify tools for visual data analysis and verification. * Utilize 3D deep learning frameworks such as TensorFlow, Caffe, Torch, PointNet, ShapeNet, etc, and implement substantial portions of production code in C / C++ and Python. * Conceive proof-of-concept prototypes that establish overall system performance. * Participate in defining product requirements. * Evaluate technical trade-offs. * Help to recruit and lead a team of data scientists. Requirements Minimum * MS in Computer Science, Applied Mathematics, Physics or Computer Vision. * Fundamental understanding of 3D deep learning, 3D semantic scene understanding, and 3D point cloud analysis. * Hands-on experience in geometric/3D deep learning frameworks and libraries e.g., Tensorflow, Pytorch, Caffe, Keras, PointNet, ShapeNet, etc.. * Experience in training and evaluation of computer vision algorithms on large datasets. * Outstanding skills in Python, C & C++ with experience in writing robust and maintainable production code. * Experience in developing computer vision/imaging and machine learning algorithms for embedded and non embedded platforms. * Knowledge of object classification, template matching, or other machine learning methods for computer vision. * Comfortable with 3D computational geometry, linear algebra, statistics, numerical methods and error analysis * Experience with 3D reconstruction from camera images and depth sensors. Preferred * Ph.D. in Computer Science, Applied Mathematics, Physics or Computer Vision. * Complete mastery of 3D deep neural networks; you have created 3D deep neural networks and seen them through to high performance and/or have published papers at the top conferences. * Prior experience involving 3D scanning or measurement of the human body is a big plus. * Completion and deployment of significant computer vision projects in a commercial environment. * Experience with existing computer vision libraries such as OpenCV, PCL, CGAL, Eigen, etc. * Experience with Texture projection, generation, completion using patch match algorithms. * Experience with 2D and 3D tracking algorithms such as SLAM. * Knowledge of WebGL / OpenGL / OpenCV/ video codec / video processing. * Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, ICPR, etc. * Experience with computational imaging / photography. * Experience with embedded Linux / Linux Kernel / Drivers * Experience with imaging sensors and camera module packaging / manufacturing / calibration / testing * Has experience with Agile methods, Scrum / Kanban / etc. * Knowledge of scripting language, e.g. Python, Bash, etc. * Camera and/or video pipeline knowledge and experience. Benefits * Competitive salary and equity * Flexible work schedule, unlimited holidays with a mandatory 15 days / year off. * Great, comprehensive health insurance : low deductible - 100% covered (incl. dependents) * Visa sponsorship if necessary * Catered lunches with healthy eating options suitable for all diets and allergies and healthy snacks * Top of the line Apple and Windows equipment of choice that you think you need to work comfortably and efficiently * Motorized sit / standing desk with Herman Miller or Steelcase chairs. * Fitness discounts and fun, action-inspired company-wide events and outings, gaming evenings * Commuter benefits or subsidies * Office located at the heart of San Francisco (SoMa) * A fun, creative and collaborative environment of a young startup company with a driven, agile and adept international team * The opportunity to have an impact on millions of people and make them happier and healthier To apply: https://www.linkedin.com/jobs/view/sr-data-scientist-geometric-deep-learning-at-shape-shapescale-971711543/ [https://www.linkedin.com/jobs/view/sr-data-scientist-geometric-deep-learning-at-shape-shapescale-971711543/]
H1
  • New York, NY
  • Salary: $90k - 120k

Overview 

Our team is building a suite of machine learning tools to help solve problems in the healthcare and life science space. This includes the classification of researchers and physicians to their scholarly research, simulating how effective drug compounds will be, and much more.

We're growing fast in a field that is also growing fast, so we're looking for people who want to grow fast too. We think an environment that is supportive, collaborative, and sophisticated is the key to making this happen.

Experience And Skills 

Our data engineers do these kinds of things:

Pull, clean, augment and master data coming from a variety of public and private sources. This goes way beyond simple ETL - we’re preparing data sets that will be used to power machine learning algorithms, not just pulling data out of a database to display in a graph.

Work within a Spark/Scala environment from notebooks through mature pipelines. Our data engineers are equally comfortable writing Scala code to normalize names or pulling together disparate notebook functions into a reusable class architecture.

Explore new ways to extract signal from data, including novel algorithms and approaches. Our most challenging problems within data engineering require a good understanding of both computer science and math (especially linear algebra and probability)

Build out scalable data pipelines on top of AWS infrastructure. Understanding Terraform/Ansible is a plus here, but experience with the AWS stack is necessary (especially Elastic Beanstalk and EMR)

Above all, the data engineering we do at H1 is code-centric, not tool-centric. ETL tools like Talend, Informatica, and the like are all great, but our use case is much more about data analysis than it is about moving and joining data together. For this reason we’re looking for candidates who are comfortable in the Scala/Spark framework.