What are the responsibilities and job description for the Senior AI/ML Engineer position at Jobs via Dice?
Job Description
The Role:
Our team is looking for a Senior AI/ML Engineer to be responsible for developing and deploying machine learning and statistical models and algorithms to support creating or enhancing map content for our ADAS/hands-free driving technology. It is expected that the person exerts technical leadership and guidance for the team in their area of expertise. This will include leveraging state-of-the practice tools and techniques to produce innovative solutions to complex problems.
What You'll Do:
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI OR Austin, TX three times per week, at minimum or other frequency dictated by the business.
Relocation:
This job may be eligible for relocation benefits
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
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 believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors 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, emailus or call us at 1-. 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.
The Role:
Our team is looking for a Senior AI/ML Engineer to be responsible for developing and deploying machine learning and statistical models and algorithms to support creating or enhancing map content for our ADAS/hands-free driving technology. It is expected that the person exerts technical leadership and guidance for the team in their area of expertise. This will include leveraging state-of-the practice tools and techniques to produce innovative solutions to complex problems.
What You'll Do:
- Design, build, and deploy predictive models and machine-learning algorithms to extract features, identify patterns, and classify outcomes using state-of-the-art frameworks and methods where practical
- Create and enhance map data and related pipelines using cloud infrastructure and high-performance compute platforms
- Analyze large datasets to discover trends and patterns
- Present complex information using data visualization techniques
- Conduct design, algorithm, notebook, and code reviews focused on machine learning and statistical analysis fundamentals, Python and relevant library best practices, and quality control and performance optimization principles.
- Document solution designs and development processes clearly and thoroughly
- Collaborate with other ML Engineers, Data Scientists/Analysts, Software Engineers, and Product team representatives to design E2E solutions and strategies involving machine learning frameworks and big data workflows.
- Provide technical guidance and subject matter expertise to team members and stakeholders
- Master's Degree in Engineering, Computer Science, Physics, Mathematics, or related quantitative field
- 6 or more years proficiency in one or more core analytical tools / suites / languages such as Python, PySpark, Spark, PyTorch, TensorFlow, and understand their limitations
- Minimum of 4 years of engineering/technical experience outside of a graduate school assistantship
- Demonstrable proficiency in statistical modeling and machine learning frameworks and tools
- Strong foundation in developing algorithms, data structures, and design patterns.
- Experience working with cloud infrastructure, high-performance compute systems, and parallel compute and data storage architectures.
- Experience leading projects and/or teams and managing customer requirements around scope, schedules, and deliverables
- Proficiency in geospatial analysis and mapping, mobility and behavioral analysis, and/or active learning frameworks
- Experience using Databricks for managing big data assets and ML models
- Experience with AI-assisted coding tools for rapid development
- Experience with autonomous vehicle and/or ADAS technologies/systems and related vehicle data processing and analytics
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI OR Austin, TX three times per week, at minimum or other frequency dictated by the business.
Relocation:
This job may be eligible for relocation benefits
Sponsorship:
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
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 believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors 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, emailus or call us at 1-. 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.