Staff AI/ML Engineer, AV Pipelines & Lineage
General MotorsHighlight
Summary
About the Role
About You
- 8+ years of experience in large-scale distributed systems.
- 3+ years of experience leading large-scale initiatives.
- Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
- Experience with relational and NoSQL databases.
- Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.
- A passion for autonomous vehicle technology.
- Strong attention to detail and commitment to accuracy.
- Proven track record of solving complex problems.
- Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.
- Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.
- Experience with Kubernetes.
- Understanding of Machine Learning (ML) models/pipelines.
- Relevant publications.
Benefits
- Comprehensive health and wellbeing benefit programs including medical, dental, and vision coverage.
- Health Savings Account and Flexible Spending Accounts.
- Retirement savings plan and life insurance.
- Paid vacation and holidays.
- Tuition assistance programs.
- Employee assistance program and GM vehicle discounts.
General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow. For information on the GM Privacy Statement, please visit http://www.gm.com/privacy-statement.html