Software Engineer, Machine Learning - job 2 of 7

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.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 funnelAt 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 equivalentIt'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-HybridThe 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#J-18808-LjbffrOriginal job Software Engineer/ ML and Data Infra posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.