Senior Engineering Manager, ML Platform

The Resume Database; Foster City (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

An innovative technology company is seeking a Senior Engineering Manager for their ML Platform team. This role involves leading software engineers to develop and optimize ML tools and frameworks for autonomous robotaxis. The ideal candidate should have strong machine learning expertise, team leadership skills, and a passion for pushing the boundaries of ML in transportation. Join the team to significantly impact the future of transportation with cutting-edge technologies and innovative solutions.

Qualifications

• Experience in machine learning frameworks and deep learning methodologies.
• Proven track record in team leadership and mentoring software engineers.
• Strong understanding of ML infrastructure and optimization techniques.

Responsibilities

• Lead a team focused on ML tools and deep learning framework development.
• Oversee rapid experimentation and scaling of multi-modal Foundation models.
• Collaborate across various ML teams to enhance model efficiency and performance.

Skills

Machine Learning

Deep Learning

Software Engineering

Team Leadership

Job description

Overview

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are still in the early stages of deploying our robotaxis, and it is a great time to join Zoox and have a significant impact on executing this mission.

Our growing Software Infrastructure engineering leadership team is looking for a Senior Engineering Manager, ML Platform. The centralized ML Platform team at Zoox plays a crucial role in enabling innovations across all our Autonomy and Data Science teams to develop and deploy models across our robotaxi and cloud infrastructure, and to work on cutting-edge training and inference optimization techniques.

The Opportunity

We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox – Perception, Prediction, Planner, Simulation, Collision Avoidance, and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.

We build and operate the base layer of ML tools, deep learning frameworks, and inference libraries used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and managers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent.