About this opportunity
jobs.frontdoordefense.com - Jobboard lists this Machine Learning Engineer, Agent Simulation opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Engineer, Agent Simulation
Location: Seattle
Compensation: $134,000 - $222,000 USD / year
About The Role
Develop innovative agent behaviors to enhance autonomous mobility solutions in urban transportation.
In this role, you will:
Research, implement, and optimize state-of-the-art machine learning approaches to improve plausible agent behaviors
Find innovative solutions for agent behaviors and simulation analysis
Prove machine‑learned algorithms have better performance than heuristics
Leverage our large‑scale machine‑learning infrastructure to discover new solutions
Analyze the difference between behaviors in simulation and real-world
Work cross‑functionally with our safety and autonomy engineers
Build scalable, usable cloud pipelines for machine learning solutions for simulation
Qualifications
BS, MS, or PhD degree in Computer Science or a related field
Experience with training and deploying deep learning models
Experience with production machine‑learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency in Python and a basic understanding of C++
Fluency with NumPy, PyTorch, TensorFlow or JAX
Strong mathematics skills
Bonus Qualifications
Experience with LLMs, reinforcement learning, imitation learning
Conference or journal publications in machine learning or robotics
Prior experience with agent behaviors, prediction, autonomous vehicles or robotics
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $134,000 to $222,000. A sign‑on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
Benefits include paid time off (sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, disability insurance, and life insurance.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.