ML Engineer II - Autonomous Driving AI & Data Pipelines
Uber
Sunnyvale (CA)
Hybrid
USD 171,000 - 190,000
Full time
14 days+
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Benefits offered by this job
Bonus program
Equity award
401(k) plan
Various benefits
Job summary
Uber is seeking a professional for the role involving the development of algorithms for autonomous driving systems. You will focus on challenges in urban environments, implementing state-of-the-art AI methods and optimizing datasets for machine learning. Candidates should have 2+ years of experience in the ML/Robotics industry, proficient skills in Python, and familiarity with frameworks like PyTorch. A Bachelor's degree is required, with advanced degrees preferred. The position is based in Sunnyvale, CA, offering a competitive salary range of $171,000 to $190,000 annually.
Qualifications
2+ years of working experience in the ML/Robotics industry.
Proficient in Python and Linux environments.
Familiar with modern AI/ML frameworks (e.g., PyTorch).
Responsibilities
Develop algorithms to tackle complex urban environments.
Deliver high-quality datasets to accelerate ML technologies.
Partner with cross-functional teams for successful deployment.
Skills
Machine Learning
Robotics
Python
Linux environments
AI/ML frameworks (e.g., PyTorch)
Education
Bachelor’s degree in Computer Science or related fields
Master’s or PhD degree in relevant fields
Tools
C++
High-performance computing
Job description
Uber is seeking a professional for the role involving the development of algorithms for autonomous driving systems. You will focus on challenges in urban environments, implementing state-of-the-art AI methods and optimizing datasets for machine learning. Candidates should have 2+ years of experience in the ML/Robotics industry, proficient skills in Python, and familiarity with frameworks like PyTorch. A Bachelor's degree is required, with advanced degrees preferred. The position is based in Sunnyvale, CA, offering a competitive salary range of $171,000 to $190,000 annually.