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Home›Jobs›Sanctuary AI›Machine Learning Engineer
Sanctuary AI

About Sanctuary AI

Building a sustainable future for wellness and nature

🏢 Construction👥 11-50📍 Austin, Texas, United States

Key Highlights

  • Headquartered in Austin, Texas with a focus on sustainability
  • Specializes in solar power and geothermal energy solutions
  • Small team size of 11-50 employees fostering close collaboration
  • Promotes eco-conscious living and community wellness

Sanctuary, headquartered in Austin, Texas, is a wellness community focused on sustainable living solutions. The company specializes in solar power systems and geothermal heating/cooling systems, providing eco-conscious energy alternatives for homes. With a commitment to environmental responsibility,...

🎁 Benefits

Sanctuary offers competitive salaries, flexible work hours, and a remote work policy. Employees also benefit from a wellness budget, generous PTO, and...

🌟 Culture

Sanctuary fosters a culture of sustainability and mindfulness, encouraging employees to engage with eco-friendly practices and contribute to community...

🌐 Website💼 LinkedInAll 14 jobs →
Sanctuary AI

Machine Learning Engineer

Sanctuary AI • Vancouver, BC

Posted 3 months ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Vancouver
Apply Now →

Job Description

Your New Role and Team
Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.

As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward.

As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects.

Interested in this role?

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