Software Engineer, ML and Data Infra

Key Skills

C++, Data pipelines, Infrastructure as code, Machine learning techniques, Python Programming

Job Description

The Perception team at Waymo is at the heart of our Autonomous Vehicles with a mission to perceive and represent everything from pedestrians to vehicles to long-tail phenomena. Perception Data Primary is the core function that owns the infrastructure and tools to understand vast amounts of Waymo driving data, curating them into datasets, and ensuring their availability and quality to accelerate Perception and Waymo driver development. This includes areas such as efficient real-time onboard systems, scalable systems for data powering Perception's ML models, diverse ML task evaluation, foundational model development, and commercialization.

In this Hybrid role you will report to a Software Engineering Manager.

In this role, you'll:

• Develop and launch new techniques to fulfill Perception's growing long-tail data needs, applying new technologies including foundational models and VLMs
• Ensure scalable data mining and data delivery in Perception through infrastructure, ML algorithms and customer engagement
• Drive collaborations with Perception data users and model owners and teams across Waymo to directly solve diverse driving challenges, especially through foundation models
• Ensure and maximize Waymo's data and commercialization scaling in new cities, platforms and businesses, including end-to-end impact on the Waymo data funnel

At a minimum we'd like you to have:

• 3+ years of experience with ML data engineering including data pipelines, data indexing and data balancing
• 3+ years of experience with Applied ML including embeddings, inference and evaluation metrics
• 3+ years of experience collaborating with data customers and other partners
• 3+ years of experience with C++ and Python
• MS and 1+ years of industrial experience, or equivalent

It's preferred if you have:

• 3+ years of Machine learning infrastructure experience, including labeling, model training, model and system evaluation
• 3+ years of Machine learning experience, including fine-tuning, few-shot training, pre-training, distillation, transfer learning
• 3+ years of Vector search experience, including RAG applications

LI-Hybrid

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

$158,000—$200,000 USD