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...

Sanctuary AI

Machine Learning Engineer

Sanctuary AIVancouver

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Skills & Technologies

Overview

Sanctuary AI is hiring a Machine Learning Engineer to build robust systems for training and running ML policies on robots. You'll work with Python, TensorFlow, and Keras to implement and deploy novel ML techniques. This position requires experience in machine learning and robotics.

Job Description

Who you are

You have a strong background in machine learning and robotics, with experience in building and deploying ML models. You are comfortable working with Python and have hands-on experience with frameworks like TensorFlow and Keras. You thrive in collaborative environments, working closely with researchers and engineers to tackle complex challenges in robotic perception and manipulation.

You possess a deep understanding of machine learning techniques and are eager to apply them to real-world problems. Your experience includes designing and testing algorithms that enhance robotic capabilities, and you are familiar with the intricacies of deploying these systems in production environments. You are detail-oriented and have a passion for innovation in the field of AI.

What you'll do

In this role, you will focus on building robust systems for training and running machine learning policies on robots. You will collaborate with a team of seasoned engineers and researchers to implement and deploy novel ML techniques into production. Your responsibilities will include designing, testing, and refining software that connects state-of-the-art methods to real-world performance. You will also have the opportunity to travel occasionally to collaborate closely with partners and teams on critical projects.

You will be involved in the entire lifecycle of machine learning projects, from conception through deployment. This includes conducting experiments, analyzing results, and iterating on your designs to improve performance. You will contribute to the engineering foundations that drive our robots forward, ensuring that the systems you build are robust and scalable.

What we offer

Sanctuary AI offers a unique opportunity to work at the forefront of AI and robotics. You will have access to in-house robotic platforms and the chance to contribute to groundbreaking projects that push the boundaries of technology. We foster a collaborative and innovative work environment where your ideas and contributions are valued. Join us in our mission to build dexterity-driven Physical AI for general-purpose robots.

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