8+ years experience in large-scale distributed systems
3+ years leading large-scale initiatives
Proficiency in python, c++, or golang
The role focuses on building scalable ML infrastructure to empower teams performing machine learning and data science at scale rather than applying models directly
Job Summary
The role focuses on building scalable ML infrastructure to empower teams performing machine learning and data science at scale rather than applying models directly.
Candidates will drive technical projects from inception to completion while mentoring engineers and shaping best practices across GM's ML infrastructure.
GM offers a comprehensive benefits package including health coverage, retirement plans, tuition assistance, and eligibility for a company vehicle evaluation program.
Matching Summary
The role focuses on building scalable ML infrastructure to empower teams performing machine learning and data science at scale rather than applying models directly.
Salary
Base: $218,800 - $335,300; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, HSA, FSA, retirement plan, paid vacation, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
8+ years experience in large-scale distributed systems
3+ years leading large-scale initiatives
Proficiency in Python, C++, or Golang
Experience with cloud platforms GCP/Azure
Knowledge of relational and NoSQL databases
Nice-to-have
Startup mentality embracing uncertainty
Experience with Kubeflow, Flyte, or Airflow
Understanding of ML models and pipelines
Relevant publications in the field
Passion for autonomous vehicle technology
Key Requirements
Bachelor's, Master's, or Ph.D. in Computer Science or related field