Senior Machine Learning Engineer, Multimodal Perception

Mountain View, CAHybridFull TimeSenior$213,000–$263,000 /yrPosted 2 months agoVisa sponsorship available

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Required skills

PyTorch
JAX
Camera
LiDAR
Audio
Multi-modal sensor fusion
Multi-task learning
Transformer architectures
Data curation pipelines
Active learning

Nice to have

Multimodal foundation models
Synthetic edge-case generation
Failure triage
Onboard accelerator inference

Role summary

The Special Vehicle Compliance team is seeking a Senior Machine Learning Engineer specializing in Multimodal Perception. This role focuses on developing autonomous vehicle intelligence for safe road interaction, utilizing multi-modal sensor fusion, deep learning architectures, and large-scale data engines. Responsibilities include architecting and optimizing multi-task deep learning models, building automated data pipelines, developing vision architectures, and leveraging foundation models. The ideal candidate will have 2-5+ years of experience in production vision or multimodal deep learning models, with expertise in sensor fusion, multi-task learning, transformers, and data curation systems.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Special Vehicle Compliance team develops the multi-modal perception, semantic reasoning, and driving intelligence that enables the autonomous vehicle to safely interact with high-stakes road actors. We are actively advancing our systems toward data-driven learned policies and end-to-end architectures, powered by large-scale closed-loop data engines.

Role overview: Perception-focused MLE role dedicated to multi-modal sensor fusion, multi-task deep learning architectures for vehicle semantics and signal detection, dynamic high-resolution vision backbones, and large-scale automated data engines.

In this hybrid role, you will report to the Technical Lead Manager of the Special Vehicle Compliance team.

You will:

Architect, train, and optimize multi-task deep learning models (PyTorch / JAX) across multi-modal sensor streams.

Build automated data mining pipelines, active learning loops, hard-example curation, and auto-labeling systems.

Develop high-resolution vision architectures and spatial-temporal transformer backbones.

Leverage multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.

Profile and optimize models for efficient onboard accelerator inference.

You have:

2–5+ years training and deploying production vision or multi-modal deep learning models.

Experience with multi-modal sensor fusion (Camera + LiDAR + Audio), multi-task learning (MTL), transformer architectures, and PyTorch / JAX.

Experience building large-scale data curation pipelines, active learning loops, and auto-labeling systems.

Fluency with modern AI developer tools and foundation model workflows for fast prototyping.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range$213,000—$263,000 USD

Sample Waymo interview questions

1
Design a data ingestion system
system designmedium
2
Design a simulation-based regression detection system for code changes
system designhard
3
Longest Substring with Two Distinct Characters Find the longest substring with at most two distinct characters. Input: s = "ccaabbb" Output: 5 Explanation: The substring "aabbb" contains exactly two distinct characters and has a maximum length of 5.
codingmedium
4
Alien Dictionary Order Derive the alien dictionary order from a sorted list of alien words. Input: words = ["z","x","z"] Output: "" (Empty String) Explanation: The letter 'z' cannot come before 'x' and then suddenly after 'x', creating a cycle and making the dictionary invalid.
codingmedium
5
Palindrome After Deleting One Character Determine if a string can be a palindrome after deleting at most one character. Input: s = "abc" Output: FALSE Explanation: Deleting any single character leaves either "ab", "bc", or "ac", none of which result in a valid palindrome.
codingmedium

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