Senior Ai/ml Engineer - Av Infra

General Motors Australia & New Zealand

Base: $170,600-$261,300; bonus: incentive pyy base...
Not specified
5+ years experience in large-scale distributed systems
Proficiency in python, c++, or golang
Experience building scalable cloud infrastructure on gcp/azure
General Motors is seeking a Senior AI/ML Engineer for their Autonomous Vehicle Machine Learning Infrastructure team, focusing on designing scalable ML infrastructure solutions. The role emphasizes technical project ownership and collaboration rather than team leadership, ideal for candidates passionate about autonomous vehicle technology

Job Summary

  • The role focuses on designing scalable ML infrastructure solutions rather than applying machine learning models directly.
  • Candidates will take ownership of technical projects from inception to completion while mentoring junior engineers.
  • GM offers a comprehensive benefits package including health insurance, retirement savings, and tuition assistance.

Matching Summary

Match Score: 85

General Motors is seeking a Senior AI/ML Engineer for their Autonomous Vehicle Machine Learning Infrastructure team, focusing on designing scalable ML infrastructure solutions. The role emphasizes technical project ownership and collaboration rather than team leadership, ideal for candidates passionate about autonomous vehicle technology.

Salary

Base: $170,600-$261,300; Bonus: Incentive pay based on company and individual performance; Benefits: Medical, dental, vision, retirement plan, 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 on GCP/Azure
  • Knowledge of relational and NoSQL databases
  • Ability to mentor junior engineers and conduct interviews

Nice-to-have

  • Experience with open-source orchestration platforms like Kubeflow or Airflow
  • Understanding of ML models and pipelines
  • Relevant publications in the field
  • Startup mentality with willingness to embrace uncertainty
  • Passion for autonomous vehicle technology

Key Requirements

  • Bachelor's, Master's, or Ph.D. in Computer Science or related field
  • 1+ years leading large-scale initiatives
  • Demonstrated ability to develop systems at scale

Work Rights

Not specified

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