Staff ML Infrastructure Engineer

🕒 Junho 26

🏄 California – Remoto

🏄 California – Remote

💵 $189.300 - $290.700 / ano

⏰ Tempo Integral

🔴 Especialista

👷 Engenheiro de Infraestrutura

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General Motors

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1908

🚘 Automotivo

🏭 Manufatura

🚗 Transporte

💰 $500.000.000 Grant em 2024-07

Automotive • Manufacturing • Transport

A visão da General Motors é criar um mundo com Zero Acidentes, Zero Emissões e Zero Congestionamentos, e estamos comprometidos em liderar o caminho rumo a esse futuro. Hoje, estamos no meio de uma revolução no transporte e temos a ambição, o talento e a tecnologia para concretizar o mundo mais seguro, melhor e mais sustentável que desejamos. Como uma empresa aberta e inclusiva, também estamos criando um ambiente em que todos se sintam acolhidos e valorizados por quem são. Um único time, no qual todas as ideias são consideradas e ouvidas, onde todos podem contribuir ao máximo de seu potencial, com uma cultura baseada em respeito, integridade, responsabilidade e igualdade. Nossa equipe reúne perspectivas e experiências diversas para solucionar os complexos desafios de transporte de hoje e de amanhã.

Descrição

• Lead the design, implementation, and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM. • Own complex technical projects end-to-end, making key architectural decisions and technical trade-offs. • You will be a core contributor to team planning, design reviews, and code quality. • Take a holistic view of projects, considering their impact across multiple teams, and across a longer timeline. • Proactively drive technical prioritization. • Collaborate closely with partner teams to ensure maximum benefit from the systems we build. • Help shape our team through technical interviewing with high, well-calibrated standards, and play an essential role in recruiting. • Mentor and onboard junior engineers and interns, helping them grow their careers.

🎯 Requisitos

• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems • Proven track record of designing robust frameworks with high-quality, durable APIs • Deep understanding of machine learning algorithms with hands-on application • Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure • End-to-end experience across the ML development lifecycle, including MLOps practices • Strong cross functional collaboration skills across teams and organizations • Exceptional coding skills in Python or C++ • Strong interest in autonomous driving and its transformative potential • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience. • Nice to have: Experience with distributed training methodologies • Experience scaling ML training across large GPU/CPU clusters or other accelerators • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) • Experience with performance profiling and state-of-the-art training optimization techniques, including their impact on model performance • Experience with advanced build systems (e.g., Bazel, Buck, Blaze, CMake) • Proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)

🏖️ Benefícios

• medical • dental • vision • Health Savings Account • Flexible Spending Accounts • retirement savings plan • sickness and accident benefits • life insurance • paid vacation & holidays • tuition assistance programs • employee assistance program • GM vehicle discounts and more.