Senior Machine Learning Engineer, End-to-end Autonomy

Reposted 22 Days Ago
Be an Early Applicant
2 Locations
Hybrid
140K-230K Annually
Senior level
Automotive • Software • Automation
The Role
The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.
Summary Generated by Built In
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

Team
At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We're seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology.

Woven by Toyota is developing a joint project between Toyota Research Institute (TRI) and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics division’s efforts in Diffusion Policy and Large Behavior Models (LBM).

Responsibilities

  • Own design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation and deployment.
  • Resolve ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases.
  • Enable and help other colleagues on the team to be more effective through leading by example when it comes to writing high-quality code, being rigorous with Machine Learning experimentation and knowledge sharing.
  • Collaborate closely with stakeholders from multiple teams in different time-zones to define interfaces and requirements for an end-to-end stack.

Experience

  • MS, or higher degree, in related field, or equivalent industry experience
  • Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred)
  • Knowledge of debugging and profiling deep neural networks on NVIDIA CUDA stack
  • Experience in state of the art architectures for object detection and 3D perception
  • Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization
  • Python and C++ experience
  • Hands-on experience with building a perception stack for autonomous systems
  • Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) 
  • Hands-on experience with large scale distributed training

Nice to Have

  • Hands-on experience with building a perception stack for autonomous systems
  • Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)
  • Experience with PyTorch and Computer Vision for sensor fusion (e.g. BEV representations)
  • Experience with embedded ML platforms and real-time OSes

For positions based in Palo Alto, CA, the base pay for this position ranges from $140,000- $230,000 a year.

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
・Excellent health, wellness, dental and vision coverage
・A rewarding 401k program
・Flexible vacation policy
・Family planning and care benefits

Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Top Skills

C++
Jax
Nvidia Cuda
Python
PyTorch
TensorFlow
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Palo Alto, , California
1,679 Employees
Year Founded: 2023

What We Do

Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.

Similar Jobs

BuildOps Logo BuildOps

Executive Communications Manager

Cloud • Mobile • Software
Easy Apply
Hybrid
Los Angeles, CA, USA
300 Employees
100K-140K Annually

Xero Logo Xero

Principal Engineer

Cloud • Fintech • Information Technology • Machine Learning • Software
Hybrid
San Mateo, CA, USA
4500 Employees
240K-280K Annually

Braze Logo Braze

Senior Marketing Manager

Marketing Tech • Mobile • Software
Easy Apply
Hybrid
San Francisco, CA, USA
1918 Employees
124K-146K Annually

Snap Inc. Logo Snap Inc.

Manager, Security Engineering, Spam & Abuse

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
Palo Alto, CA, USA
5000 Employees
213K-377K Annually

Similar Companies Hiring

Standard Template Labs Thumbnail
Software • Information Technology • Artificial Intelligence
New York, NY
10 Employees
PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account