Senior Software Engineer, ML Infrastructure, PrePlan

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

The team’s work touches on all of the most exciting aspects of machine learning, including but not limited to Large Language Models (LLMs), Reinforcement Learnings (RL), and Vision understanding. In this role, you will ensure that our systems remain reliable in the face of this rapid, experiment-driven development.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

• Collaborate with ML Modeling Engineers, Data Scientists, Software Engineers, and other stakeholders to deploy machine learning models into production
• Develop and maintain CI/CD pipelines for automating data generation, model training, testing, and deployment processes
• Implement best practices for model versioning, monitoring, and governance
• Troubleshoot and resolve issues related to model deployment and performance
• Stay current with emerging technologies and trends in ML Ops and DevOps domains
• Be aware of best practices used in the Alphabet stack of ML technologies (e.g. TF, JAX, Flax, Beam etc)
  

You have:

• B.S. or higher in Computer Science, Math, or equivalent real-world experience
• 4+ years building and maintaining high-scale distributed or ML inference systems
• Coding and testing skills, specifically Python/C++
• Familiarity with large-scale fleet management, testing, and deployment, e.g.: GCP/AWS/Kubernetes, Jenkins, GCS/S3, etc.
• Familiarity with large-scale MLOps tools, e.g.: tf.serving/Torchserve, Kubeflow/Sagemaker Pipelines/Vertex AI Pipelines, etc.
• Understanding of Machine Learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow.

We prefer:

• Previous experience deploying and supporting machine learning models for computer vision, natural language processing, or recommendation systems.