Staff AI/ML Engineer - AV ML Infra

About the role

The AV ML Infra team at GM builds ML infrastructure designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.

Responsibilities

• Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
• Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
• Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
• Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.

Requirements

• 8+ years of experience, with a strong background in large-scale distributed systems preferred.
• 3+ years of experience leading and driving large-scale initiatives.
• Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.
• Experience working with relational and NoSQL databases.
• Demonstrated ability to develop and maintain systems at scale.
• A 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 and its transformative potential.
• Strong attention to detail and a commitment to accuracy.
• A proven track record of efficiently solving complex problems.
• A startup mentality with a willingness to embrace uncertainty and wear multiple hats.

Qualifications

• 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.
• Python/C++/Golang proficiency.
• Relevant publications.

Skills

• Technical expertise in large-scale distributed systems.
• Leadership and project management experience.
• Collaborative problem-solving skills.
• Mentoring and coaching abilities.
• Cloud-native infrastructure design and implementation.
• Experience with ML frameworks and tools.

Benefits

• Health and wellbeing benefit programs.
• Medical, dental, and vision coverage.
• Flexible spending accounts.
• Retirement savings plans.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation & holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.

Pay

The expected base compensation for this role is: $218,800 - $335,300. Actual base compensation within the identified range will vary based on factors relevant to the position.

Schedule

Full-time position.