Top AI & Machine Learning Jobs

The Staff AI Engineer will build and deploy AI/ML solutions for simulations, working with teams to evaluate and implement AI tools. Responsibilities include leading projects, fine-tuning models, and optimizing performance across various applications in engineering.

Lead design and delivery of production-grade AI capabilities to improve developer productivity across engineering tools, CI/CD, and embedded software workflows. Define technical vision, integrate AI into toolchains, drive productionization, establish responsible AI standards, mentor engineers, and influence cross-functional roadmaps and implementations.

Design, build, and operate scalable hybrid human/machine data-labeling tools and pipelines for autonomous vehicle ML. Implement full‑stack features (frontend, backend, APIs), integrate ML-driven annotation and active learning, build automation and QA tooling, and own projects end-to-end while collaborating with ML, product, and operations teams to improve labeling velocity and quality.

Lead design and delivery of agentic data and AI platforms for vehicle product engineering. Build large-scale batch and streaming pipelines, semantic models, observability, and agentic workflows that detect anomalies, recommend or enact remediations, and support production-grade ML services. Drive architecture, governance, standards, mentorship, and cross-functional execution to scale secure, resilient, and observable systems across global vehicle design and manufacturing.

Design, build, and operate scalable hybrid human/machine data labeling platforms for autonomous vehicles. Own end-to-end projects, define platform roadmap, integrate ML-driven annotation, build high-performance UIs/APIs, and collaborate across ML, product, and operations to improve labeling quality and velocity.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build tooling for profiling and debugging, integrate kernels into the ML runtime, collaborate with compilers and architecture teams, and deliver high-performance, production-grade libraries meeting strict latency, throughput, and reliability targets.

Build and operate full‑stack labeling tools and pipelines for autonomous vehicle ML. Design scalable UIs and services, integrate ML-driven annotation, create automation and QA tooling, own projects end‑to‑end, and collaborate with ML, Ops, Product, and Data teams to improve labeling quality and velocity.

Build production AI-powered analytics and natural-language intelligence on governed telematics, aftersales, and energy data. Design multi-agent systems, retrieval/grounding/reasoning/memory patterns, and reusable AI services. Partner with data product teams to ensure trust, explainability, scalability, and performance of AI experiences for enterprise users.

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.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.