Search jobs > Seattle, WA > Machine learning engineer

Machine Learning Engineer, 3D Simulation

Zoox
Seattle, WA
Full-time

The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to improve diversity and blur the line 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.

Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions, and you will be able to contribute to any (or all!) of these.

In this role, you will :

  • Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity
  • Collaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulator
  • Build scalable, useable cloud pipelines for machine learning solutions in 3D simulation
  • Improve rendering and tooling for generating realistic data at scale

Qualifications :

  • 3+ years of experience with programming and algorithm design
  • Fluency in C++ and Python
  • Experience with modern 3D vision techniques like CNNs, Diffusion, and NeRF
  • Publications or production experience in human-centric 3D vision, reconstruction, or style transfer
  • Strong mathematical skills and understanding of probabilistic techniques

Bonus Qualifications :

  • Bachelor's, Master's or PhD in computer science, mathematics, physics, or related field
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
  • Experience with generative models for 3D content
  • Experience automating 3D content pipelines using applications like Houdini, Maya, or Blender.
  • Experience in distributed systems and cloud computing platforms
  • Experience in 3D rendering for simulation, games, or VFX

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.

Zoox also offers a comprehensive package of benefits including paid time off ( 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.

Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.

30+ days ago
Related jobs
Promoted
VirtualVocations
Seattle, Washington

A company is looking for a Machine Learning Engineer II (Remote). ...

Promoted
Apple
Seattle, Washington

The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML front-tier ! Possible example areas include model visualization, efficient inference, model compression, ML compilers, and/or federated learning. At Apple, the AIML - On-Devic...

Promoted
VirtualVocations
Seattle, Washington

Key Responsibilities:Develop and maintain cutting-edge applied LLM projects for search result retrieval, recommender systems, and multi-bot agentsParticipate in refining NLP activities and staying up-to-date with the latest developments in NLP and large language modelsTake end-to-end ownership of la...

Promoted
TikTok
Seattle, Washington

We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce. Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, A...

Promoted
DICE
Seattle, Washington

Dice is the leading career destination for tech experts at every stage of their careers.Our client, Meta Platforms, Inc.Is this your next job Read the full description below to find out, and do not hesitate to make an application.Research, design, develop, and test operating systems-level software.D...

Promoted
Remotely Inc
Seattle, Washington

As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions. Junior Machine Learning Engineer (1 year experience, remote). Collaborate with senior engineers ...

Promoted
DICE
Seattle, Washington

The ideal candidate will have a deep understanding of machine learning algorithms and cloud computing infrastructure. ML Compute Infrastructure Engineer. We are seeking a highly motivated and experienced software engineer to join our team. ...

FIS
Seattle, Washington

As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. Senior Machine Learning Engineer. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and preve...

Aurora
Seattle, Washington

We’re searching for a Senior Staff Machine Learning Engineer, Perception. Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e. Extensive exp in Computer Vision, Machine Learning, Deep Learning, or ...

Stripe
Seattle, Washington

As a machine learning engineer, you will design and build platforms and services that are configurable and scalable. Collaborate with our machine learning infrastructure team to leverage new infra services for business solutions. At least 5 years of industry experience doing end-to-end ML developmen...