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Machine Learning Specialist - Software Defined Vehicle Analytics - SDV

  • Remote
  • Engineering
  • Full Time
  • Added
  • JR-000085881

Description

Remote: This position does not require employee to be on-site full-time to perform most effectively. The employee’s role enables them to work off-site on a permanent basis.

This role requires extensive knowledge of data science model development and maintenance. Machine Learning Specialists play a significant role in our SDV team. You have curiosity and initiative for deriving insights from data and generating impactful business values working in partnership with global teams to in drive advanced analytics. As a Machine Learning Specialist on our team, you will be responsible for building and managing modeling processes, identifying data requirements, and delivering methodology and tools that are statistically grounded around our data analytics pipeline.  We are looking for a highly energetic and creative thinker who is addicted to an attention to detail. If you love the idea of shared accountability and have a passion for changing the world, we are looking for you! Come and join the team that is shaping the landscape in the automotive industry!

This team is focused on providing in-vehicle, edge, and cloud-based app and service software to provide performance insights of GM’s next-generation Connected Vehicle, Automated Driving (L2+) and Autonomous (L4) technologies.  This role requires extensive knowledge of data science model development and maintenance. We are looking for a highly energetic and creative thinker who is addicted to an attention to detail. If you love the idea of shared accountability and have a passion for changing the world, we are looking for you! Come and join the team that is shaping the landscape in the automotive industry!

Key Responsibilities

  • Translate business problems into a data driven analytics objective

  • Build ML algorithms based on statistical modelling procedures, and deploy, monitor, and maintain scalable solutions in production to meet analytics objectives

  • Process structured and unstructured data to develop, extend and enrich ML frameworks and libraries

  • Collaborate with data engineers to build data and model pipelines

  • Develop an insight generation pipeline, from data acquisition to visualization

  • Demonstrate end-to-end understanding of applications

  • Communicate and explain complex processes to people who are not programming experts

  • Analyze large, complex datasets to extract insights and decide on the appropriate technique

  • Research and implement best practices to improve the existing machine learning infrastructure

  • Work in a fast-paced agile environment to develop and deliver advanced analytics solutions

  • Solve complex problems that extend beyond the traditional data science problems 

  • Present accountable results to leadership 

Skills Requirements:

Basic Qualifications:

  • Bachelor’s Degree in engineering, Computer Science, Physics, Mathematics, or related quantitative field
  • Proficiency in one or more core analytical tools / suites / languages
  • Advanced hands-on experience with machines learning toolkits.
  • Experience working on advanced analytics, machine learning, and other AI techniques for real world applications in a production environment
  • Demonstrated proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression and causal inference
  • A strong passion for empirical research and for answering hard questions with data 
  • Experience working with large dataset, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.)
  • Cultivate open, inclusive culture that supports learning and encourages collaboration.
  • Strong collaboration skills, effective communication skills with ability to prepare project documentation and presentation

Additional Description

Skills Requirements:

Basic Qualifications:

  • Bachelor’s Degree in engineering, Computer Science, Physics, Mathematics, or related quantitative field

  • Proficiency in one or more core analytical tools / suites / languages

  • Advanced hands-on experience with machines learning toolkits.

  • Experience working on advanced analytics, machine learning, and other AI techniques for real world applications in a production environment

  • Demonstrated proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression and causal inference

  • A strong passion for empirical research and for answering hard questions with data 

  • Experience working with large dataset, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.)

  • Cultivate open, inclusive culture that supports learning and encourages collaboration.

  • Strong collaboration skills, effective communication skills with ability to prepare project documentation and presentation

Preferred Experience: 

  • Advanced degree in a related technical field

  • Understanding of major automotive vehicle systems such as Advanced Driver-Assistance (ADAS), Motion Control, Automotive Network, and Powertrain

  • Experience working with frontend ML systems

  • Experience with source code management tools such as GIT, Jira, Bitbucket, or Azure DevOps

  • Experience in continuous integration and deployment with Dev/Data Ops platforms

  • Scaled Agile Framework (SAFe) certification


About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; 
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.