5+ years experience in large-scale distributed systems
Proficiency in python c++ or golang
Experience building scalable cloud infrastructure
The role focuses on developing infrastructure products that empower GM teams to perform machine learning and data science at scale rather than applying specific ML models
Job Summary
The role focuses on developing infrastructure products that empower GM teams to perform machine learning and data science at scale rather than applying specific ML models.
Candidates will take ownership of technical projects from inception to completion while providing mentorship to junior engineers and interns.
GM offers a comprehensive benefits package including medical, dental, vision, retirement savings plans, and tuition assistance programs.
Matching Summary
The role focuses on developing infrastructure products that empower GM teams to perform machine learning and data science at scale rather than applying specific ML models.
Salary
Base: $170,600-$261,300; Bonus/Equity: Incentive pay based on company performance and individual results; Benefits: Medical, dental, vision, HSA, FSA, retirement, paid vacation, tuition assistance
Skills & Requirements
Must-have
5+ years experience in large-scale distributed systems
Proficiency in Python C++ or Golang
Experience building scalable cloud infrastructure
Knowledge of relational and NoSQL databases
Nice-to-have
Startup mentality with willingness to embrace uncertainty
Passion for autonomous vehicle technology
Experience with open-source orchestration platforms
Understanding of ML models and pipelines
Key Requirements
Bachelor's, Master's, or Ph.D. in Computer Science or related field
1+ years leading large-scale initiatives
Proven track record of solving complex problems efficiently