Senior Machine Learning Engineer - 3D Sensor Simulation
Company: Zoox
Location: Seattle
Posted on: April 1, 2026
|
|
|
Job Description:
The 3D Simulation group at Zoox is looking for 3D Machine
Learning engineers to simulate sensors (cameras, lidar, radar),
combining GenAI/ML and modern 3D graphics techniques to close the
gap between simulation and reality. You will have access to the
best sensor data in the world and an incredible infrastructure for
testing and validating your algorithms. Collaborate with Sensor
Sim, Perception, and V&V teams to evaluate and iteratively
improve the fidelity of sensor simulation. The 3D Sensor Simulation
team’s work is at the core of creating high fidelity synthetic data
for training and testing AV AI, as well as real time sensor data
for hardware-in-the-loop simulation. In this role, you will:
Research, implement, and optimize state of the art 3D rendering of
sensor data, leveraging GenAI/ML and 3D graphics. Develop realism
metrics with V&V to show measurable impact of your improved
sensor fidelity. Collaborate with Perception and Safety teams to
improve realism of sensor simulation for high fidelity synthetic
data. Improve rendering and ML inference tooling for generating
realistic data at scale. Qualifications 5 years of industry
experience, and/or PhD, developing neural rendering techniques like
Gaussian Splatting, NeRFs, or 3D reconstruction 5 years of
experience developing software with Python and/or modern C++
Expertise with machine learning frameworks PyTorch or Tensorflow
Familiarity with 3D graphics algorithms, such as 3D geometry and
camera models Strong mathematical skills and understanding of 3D
linear algebra and probabilistic techniques Bonus Qualifications
Master's or PhD in computer science, mathematics, physics, or
related field Experience with generative models for 3D content
pipelines using applications like Houdini, Maya, or Blender.
Experience in 3D rendering for simulation, games, cloud computing,
or VFX $227,000 - $316,000 a year Base Salary Range There are three
major components to compensation for this position: salary, Amazon
Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights.
A sign-on bonus may be offered as part of the compensation package.
The listed range applies only to the base salary. Compensation will
vary based on geographic location and level. Leveling, as well as
positioning within a level, is determined by a range of factors,
including, but not limited to, a candidate's relevant years of
experience, domain knowledge, and interview performance. The salary
range listed in this posting is representative of the range of
levels Zoox is considering for this position. Zoox also offers a
comprehensive package of benefits, including paid time off (e.g.
sick leave, vacation, bereavement), unpaid time off, Zoox Stock
Appreciation Rights, Amazon RSUs, health insurance, long-term care
insurance, long-term and short-term disability insurance, and life
insurance. About Zoox Zoox is developing the first ground-up, fully
autonomous vehicle fleet and the supporting ecosystem required to
bring this technology to market. Sitting at the intersection of
robotics, machine learning, and design, Zoox aims to provide the
next generation of mobility-as-a-service in urban environments.
We’re looking for top talent that shares our passion and wants to
be part of a fast-moving and highly execution-oriented team. Follow
us on LinkedIn Accommodations If you need an accommodation to
participate in the application or interview process please reach
out to [email protected] or your assigned recruiter. A Final Note:
We may use artificial intelligence (AI) tools to support parts of
the hiring process, such as reviewing applications, analyzing
resumes, or assessing responses. These tools assist our recruitment
team but do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.
Keywords: Zoox, Bellingham , Senior Machine Learning Engineer - 3D Sensor Simulation, Engineering , Seattle, Washington