Senior ML Engineer, Autonomous Driving Systems

Neura Market; Mountain View (CA); Hybrid; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Company benefits program

Job summary

Waymo, the autonomous driving technology company, seeks a experienced ML engineer to lead end-to-end model development for safety-critical driving behaviors and to evaluate performance, safety, and scalability of our self-driving system. You will design experiments, gather data, deploy metrics on fleet-wide data, and communicate results to partner teams.

This full-time hybrid role requires 5+ years in production ML, proficiency in C++ and Python, and cross-functional collaboration.

Qualifications

• 5+ years ML modeling experience in production environments at large scale.
• Solid understanding of physics, geometry, and dynamics.
• Proficiency in C++ and Python.
• Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise.
• Proven ability to work cross functionally with both Product and Engineering stakeholders.

Responsibilities

• Lead ML model development end-to-end for safety critical driving behaviors to evaluate and enhance the performance, safety and scalability of our self driving system
• Design experiments and assess results to make clear data-driven decisions
• Find new ways to gather the required data needed to improve our models and improve data quality
• Communicate benefits and limitations of new models and metrics to partner teams
• Integrate and deploy metrics and models on fleet-wide data
• Be able to operate on both tactical and strategic timescales

Skills

C++

Python

SQL

Cross-functional collaboration

Job description

Waymo, the autonomous driving technology company, seeks a experienced ML engineer to lead end-to-end model development for safety-critical driving behaviors and to evaluate performance, safety, and scalability of our self-driving system. You will design experiments, gather data, deploy metrics on fleet-wide data, and communicate results to partner teams.

This full-time hybrid role requires 5+ years in production ML, proficiency in C++ and Python, and cross-functional collaboration.