Top AI & Machine Learning Jobs

Lead product strategy and execution for ML training workflows and platforms. Own roadmap, define requirements, measure KPIs for developer productivity, training reliability, experiment management, and cost. Partner with engineering, infrastructure, data, finance, and autonomy teams to prioritize investments, reduce cycle time, and deliver scalable tooling. Mentor product peers and communicate tradeoffs and metrics to senior leaders.

The Senior AI/ML Engineer will enhance developer productivity by improving Python workflows, leading projects, mentoring engineers, and driving best practices.

Lead development and implementation of AI governance for vehicle motion software. Derive processes from automotive safety standards, classify AI elements, manage tool qualification and TCL, integrate governance into SDLC, run gap analyses, maintain AI inventories, produce audit-ready artifacts, train engineers, and align VMEC with enterprise AI policy and evolving standards.

Lead research and development of vision-language and vision-language-action foundational models for autonomous driving, focusing on multimodal alignment, onboard model optimization (quantization, pruning, distillation, compilation), real-time deployment on vehicle edge hardware, cross-team integration with perception and planning, mentoring engineers, and publishing/patenting research.

Technical lead for end-to-end ML and CV pipelines to reconstruct, validate, and maintain map primitives from multi-modal vehicle sensor data. Architect scalable offline and production map reconstruction systems, define technical strategy, drive cross-functional integration, mentor senior engineers, and ensure robustness, safety, and operational scalability for national-scale mapping.

Develop and deploy machine learning solutions for autonomous vehicles, mentoring engineers and collaborating on model implementations.

Lead the design, implementation, and deployment of scalable ML infrastructure for autonomous driving. Drive technical projects, mentor others, and collaborate with teams to enhance ML workflows.

Lead design, training, and evaluation of multi-modal ML perception models (camera, lidar, radar) for fallback autonomy. Define metrics, curate datasets, implement training and optimized inference pipelines for on‑vehicle constraints, and integrate models into production. Partner with safety, systems, and product teams for validation, verification, and deployment. Mentor engineers and promote ML and software engineering best practices.

The Senior Manager of Embodied AI will oversee AI/ML engineering teams, manage operational excellence in data scaling for autonomous vehicles, and collaborate across teams to improve performance and innovation in AV technology.

Design, prototype, and productionize applied AI/ML solutions for simulation and engineering workflows. Build high-performance inference pipelines, fine-tune and optimize multimodal and 3D models, integrate models into simulation or perception stacks, and lead projects end-to-end while collaborating with simulation, data, and engineering teams.