Software Co-op: Machine Learning Operations (January 2025 Term)

Sanctuary in Vancouver, BC

Your New Role and Team
Sanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Software Engineer Co-op student for our Data Collection and ML Operations team. Reporting to the Data Collection and ML Operations Lead, you’ll gain a comprehensive understanding of the operation of our data collection pipeline, and the process of training, testing, deploying and optimizing the machine learning models that power our general-purpose robots.

The best candidates for this role have excellent software development and machine learning skills and hand-on experience in model deployment and optimization. You’ll be a valued contributor as you learn to automate and test model training and deployment to drive continuous improvements in our robotic systems.

Working at Sanctuary AI
Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the-art office facility and has been recognized by LinkedIn as a Top Startup company.
Compensation and Benefits
Sanctuary offers a market-leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting-edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.

About Sanctuary AI
Founded in 2018, Sanctuary builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data-driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real-world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy, and refine at scale. Our mission is to create the world's first human-like intelligence in general-purpose robots.




Recruiting and Employment Agency Notice:
Recruitment and hiring is conducted internally by Sanctuary AI. We are not seeking or soliciting any new agency partnerships or agreements at this time . Any employment agency or professional recruiter (“Agency”) that provides an unsolicited resume(s) or otherwise presents a prospective job candidate through the Sanctuary AI career site or directly to any Sanctuary AI employee, irrevocably grants to Sanctuary AI the unrestricted right to engage, hire, or contract with that candidate at Sanctuary AI's sole discretion without any compensation to the Agency. We appreciate your interest in working together, and should the need arise our Talent Acquisition team will contact any external firms directly.

    • Gain cutting edge career experience as you build and operate data collection and machine learning pipelines
    • Expand your engineering experience in both cloud and on-premise systems
    • Achieve company-wide visibility as you partner with our simulation and machine learning research teams to enable our general-purpose robots to learn new skills
    • Tap into your organizational and technical skills as you help convert the latest machine learning research into production deployment

      • Your Experience
      Qualifications and Skills
    • Pursuing or completing a bachelor’s degree in computer science or a related technical field
    • Strong programming skills in Python
    • Experience with observability stacks such as Grafana, Splunk, or Datadog
    • Experience with training and deploying machine learning models
    • Familiarity with ML Ops platforms such as Weights & Biases or ClearML
    • Familiarity with robotics (ROS)

      • Traits
    • Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
    • Optimistic listening and conflict resolution capabilities
    • Demonstrated ability to influence others without authority
    • Eager to take on new challenges with tenacity and positivity
    • Patience, persistence, and attention to detail when resolving performance issues
    • Obsession with bringing human-like intelligence to machines
Apply