# Senior Staff Machine Learning Engineer, LLM/VLM Model Architecture & Optimization Source: https://realanalystjobs.com/job/senior-staff-machine-learning-engineer-llm-vlm-model-architecture-and-optimizati-db2441fc Senior Staff Machine Learning Engineer, LLM/VLM Model Architecture & Optimization at Waymo, an on-site role based in Mountain View, California, USA. Experience level: 7+ Years. Pay stated in the posting: $298,000 to $368,000. Posted on 22 June 2026, read from Waymo's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Waymo has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Waymo](https://realanalystjobs.com/companies/waymo) - Location: Mountain View, California, USA - Work mode: On-site - Pay stated in the posting: $298,000 to $368,000 - Posted: Jun 22, 2026 - Employment type: Full time - Experience level: 7+ Years - Source: Waymo's careers page (Greenhouse), re-checked daily ## Visa sponsorship The posting does not say. Waymo had H-1B petitions approved for 271 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/waymo#h1b-record) ## About this role 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 Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: • Design VLM/LLM model architecture and drive strong alignment between model architectures and hardware architectures. • Optimize model performance for on-device use cases (memory, power, compute constrained environments). • Engage directly with research, software engineering, hardware engineering, and product teams to deliver end-to-end solutions. You have: • 7+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). • Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration. • Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training. • A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints • Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems) • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. We prefer: • Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. • Background in autonomous vehicle perception, motion planning, or decision-making systems. • Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). • PhD in a relevant field. 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 $298,000 - $368,000 USD Description from Waymo's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-staff-machine-learning-engineer-llm-vlm-model-architecture-and-optimizati-db2441fc) and use Apply now there to reach the employer's application. The listing is re-checked against Waymo's careers page daily and removed when it closes. ## Waymo 4 open analyst roles on Real Analyst Jobs. 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