Senior AI/ML Engineer focusing on designing scalable ML infrastructure solutions at GM. Collaborating across teams to solve complex problems and mentoring junior engineers.
Responsibilities
Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.
Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.
Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.
Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.
Requirements
5+ years of experience, with a strong background in large-scale distributed systems preferred.
1+ 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.
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