
10,000+ employees
Founded 1908
🚘 Automotive
🏭 Manufacturing
🚗 Transport
💰 $500M Grant on 2024-07
Automotive • Manufacturing • Transport
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
🔥 5 minutes ago
🇨🇦 Canada – Remote
💵 $131k - $180.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
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10,000+ employees
Founded 1908
🚘 Automotive
🏭 Manufacturing
🚗 Transport
💰 $500M Grant on 2024-07
Automotive • Manufacturing • Transport
General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.
• Build and deploy applied AI/ML solutions supporting simulation workflows, internal tools, and mission-critical engineering use cases. • Work across innovation stages, from early exploration and rapid prototyping to robust, maintainable production systems. • Collaborate with simulation, scenario-generation, data, and engineering teams to identify AI opportunities. • Deliver solutions meeting clear customer and business success criteria. • Fine-tune, adapt, optimize, evaluate, and ship foundation models as production systems. • Develop robust, high-performance inference pipelines.
• Master’s degree required in CS, Robotics, EE, or related fields; PhD preferred. • 5+ years of applied ML/AI engineering experience, including at least 2+ years delivering production AI systems at scale. • Deep knowledge of at least one modern multimodal or 3D computer vision pipeline, such as NeRF, Gaussian Splatting, world models, or diffusion-based generation. • Strong Python programming skills. • Experience with a modern ML/AI library such as PyTorch, TensorFlow, OpenAI APIs, HuggingFace, or gsplat. • Solid understanding of ML fundamentals, including data preprocessing, training pipelines, evaluation metrics, and model performance optimization. • Ability to move between research exploration and practical engineering. • Demonstrated ability to lead projects end-to-end with minimal guidance. • Must not require GM immigration sponsorship now or in the future.
• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave. • Healthcare, dental and vision benefits including health care spending account and wellness incentive. • Life insurance plans to cover you and your family. • Company and matching contributions to a Defined Contribution Pension plan. • GM Vehicle Purchase Plan for you and your family.
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