Senior Machine Learning Engineer - Platform

Description: • Lead the transition from fragmented, task-specific models to a modular unified perception platform. • Design and implement real-time ML systems for sensor ingestion, tracking, risk reasoning, and actuation. • Integrate models across edge and cloud environments, including versioning, rollouts, and fallback mechanisms. • Own end-to-end latency and reliability for safety-critical ML pipelines. • Profile, schedule, and optimize messaging and backpressure across the stack. • Build monitoring to detect model drift, false positives and negatives, and latency regressions. • Develop evaluation frameworks for rare long-tail safety events and define ship/no-ship metrics and test sets. • Partner with applied scientists to translate research outputs into production code that is performant, debuggable, and explainable. • Shape system abstractions early to reduce technical debt and improve scalability. • Mentor junior and mid-level engineers and help set standards for correctness and performance. Requirements: • 6+ years of experience in ML engineering with a track record of shipping production models. • Experience in safety-critical domains such as robotics, automotive, or industrial AI is preferred. • Deep understanding of distributed systems, performance profiling, and computer vision. • Experience with cloud ML workflows on AWS, GCP, or Azure. • Experience with containerization and an understanding of edge hardware constraints. • Ability to design systems and evaluate trade-offs between model complexity and operational reliability. • Ph.D. in Computer Science or a quantitative discipline such as Applied Math, Physics, or Statistics is preferred. • Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code frameworks is preferred. • Experience deploying and managing ML applications in cloud environments and using cloud services for storage, processing, and inference is preferred. • Experience building end-to-end ML applications from scratch is preferred. Benefits: • Annual base salary of $243,100 to $286,000 USD. • Initial RSU grant with no vesting cliff. • Ongoing refresh opportunities tied to performance, subject to plan terms and conditions. • Above-market total compensation with base salary, performance-based bonus or variable pay, and equity for eligible roles. • Flexible, employee-led remote working model. • Professional development stipend. • Comprehensive health plans. • Comprehensive parental leave plans. Apply tot his job Apply To this Job