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Robotics ML Engineer — humanoid systems | Sanctuary AI | Bu… · Ganloss
Robotics ML Engineer — humanoid systems
Robotics ML Engineer — humanoid systems
Sanctuary AI
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
3 habilidades 1 herramienta
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Modalidad On-site
Ubicación 3585 Henning Dr, Burnaby, BC V5C 6N5, Canada · On-site
Compensación CAD 125k–165k/year + equity Nivel de experiencia Beneficios Equity, lab hardware access, Vancouver. Cómo aplicar Manipulation or perception stack on real robots.
Publicada 5 ago 2026 Sanctuary AI is hiring a Senior Robotics ML Engineer — humanoid systems on the Embodied AI team (On-site · Burnaby, Canada). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Sanctuary AI builds general-purpose humanoid robots for real-world work in Vancouver.
Apply ML to perception, manipulation, and teleoperation stacks on physical hardware.
What you will do
Ship production embodied AI and robotics with offline evals, monitoring, and safe rollout. Work with product and domain experts on requirements and trade-offs. Improve data pipelines, labeling, and metrics tied to business KPIs. Document runbooks for on-call and customer-facing teams. What we look for
Strong Python and modern ML/LLM stack with shipped features. SQL, experimentation, and clear communication to stakeholders. Eligible to work in the listed country; professional English required. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
✓ You can show evidence in your application: Manipulation or perception stack on real robots. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and ROS. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: CAD 125k–165k/year + equity, benefits in At a glance) and your expectations align. Lo que pide la empresa
Manipulation or perception stack on real robots.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Robotics ML Engineer — humanoid systems
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
Publicar oferta Publicada el 5 jun 2026 Actualizada el 8 jul 2026
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