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.
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