ML Deployment Engineer - Autonomous Driving Systems
Kodiak
San Francisco (CA)
On-site
USD 200,000 - 265,000
Full time
14 days+
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Benefits offered by this job
Competitive compensation package
Medical, Dental, and Vision plans
Flexible PTO
Dog-friendly office
Free catered lunch
Job summary
A leader in autonomous technology is seeking a Machine Learning Engineer to design and deploy systems improving vehicle perception and decision-making. The role involves collaborating with various teams to utilize real-world data for model enhancement. Ideal candidates will possess an MS or PhD in a relevant field, strong experience in deploying ML systems, and proficiency in Python and C++. The position offers competitive salary ranging from $200,000 - $265,000, along with exceptional benefits like flexible PTO and comprehensive health plans.
Qualifications
Strong experience deploying machine learning or deep learning systems in production environments.
Experience with large-scale distributed training systems.
Solid understanding of optimization and machine learning fundamentals.
Responsibilities
Design and deploy onboard machine learning models to improve performance.
Collaborate with teams to integrate ML models into production systems.
Analyze driving logs to improve model robustness and safety.
Skills
Deploying machine learning systems
Collaboration across teams
Proficiency in Python
Proficiency in C++
Deep learning frameworks
Education
MS or PhD in Computer Science, Robotics, or related field
Tools
PyTorch
TensorFlow
Job description
A leader in autonomous technology is seeking a Machine Learning Engineer to design and deploy systems improving vehicle perception and decision-making. The role involves collaborating with various teams to utilize real-world data for model enhancement. Ideal candidates will possess an MS or PhD in a relevant field, strong experience in deploying ML systems, and proficiency in Python and C++. The position offers competitive salary ranging from $200,000 - $265,000, along with exceptional benefits like flexible PTO and comprehensive health plans.