Hybrid Engineering Manager, ML Platform – Behavior

at Woven Planet

• Job title: Engineering Manager, ML Platform – Behavior
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $161,000 - $264,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Palo Alto, United States

About the role

• Engineering Manager leading technical teams developing machine learning pipelines at Woven by Toyota. Focusing on autonomous vehicle behavior and safety systems.

Responsibilities

• Define the team’s short‑term and long‑term technical direction while collaborating on broader cross‑functional strategic initiatives.
• Initiate and influence cross‑functional teams toward common development goals to drive innovation
• Enable and support your team to be more effective through coaching, leading by example, providing high‑quality code and design‑document reviews, and delivering rigorous reports.
• Collaborate with team members to design, develop, deploy, and evaluate state‑of‑the‑art pipelines and processes for ML model development, testing, and deployment.
• Lead the execution of projects by defining efficient engineering processes, mitigating technical risks, and advocating for architectural improvements that enhance system reliability and scalability.
• Increase speed of the component- and system-level model iteration while maintaining cost efficiency.
• Drive organizational metrics towards performance, safety, and quality.
• Design reusable software components as part of an integrated system.
• Understand and champion software practices that produce maintainable code, including continuous integration, code review, etc.
• Work in a globally distributed department (US, Japan, London)
• Work in a hybrid workspace, with the requirement to be present in our Palo Alto office three days a week.

Requirements

• BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience.
• 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
• Experience with Python, PyTorch/Tensorflow, and software engineering best practices.
• Experience in the full MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, training, testing, evaluation, deployment, inference optimization and deployment in the cloud and on edge compute platforms.
• Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation.
• Experience working with temporal data and/or sequential modeling.
• Strong communication skills with the ability to communicate concepts clearly and precisely.
• Ability to write code in C++ and python.
• Ability to lead within a globally distributed department
• Excellent communication, skilled collaboration, and principled interactions.
• Passionate about self-driving car technology and its potential for humanity.

Benefits

• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits