Software Engineer Co-op: Machine Learning Operations

2 months ago


Vancouver, British Columbia, Canada Sanctuary Cognitive Systems Corp. Full time
Join Our Data Collection and ML Operations Team

Sanctuary Cognitive Systems Corp., a world leader in building AI-based control systems for humanoid robots, is seeking a talented Software Engineer Co-op student to join our Data Collection and ML Operations team.

As a member of our team, you will gain a comprehensive understanding of our data collection pipeline and the process of training, testing, deploying, and optimizing machine learning models that power our general-purpose robots.

We are looking for individuals with excellent software development and machine learning skills, as well as hands-on experience in model deployment and optimization.

Key Responsibilities:

  • Automate and test model training and deployment to drive continuous improvements in our robotic systems
  • Partner with our simulation and machine learning research teams to enable our general-purpose robots to learn new skills
  • Help convert the latest machine learning research into production deployment

Requirements:

  • Pursuing or completing a bachelor's degree in computer science or a related technical field
  • Strong programming skills in Python
  • Experience with training and deploying machine learning models
  • Patience, persistence, and attention to detail when resolving performance issues

We are an equal opportunity employer and welcome applications from diverse candidates. Our company culture values skills, competence, and qualifications, and we do not discriminate based on 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.

Sanctuary Cognitive Systems Corp. 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.

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. Our mission is to create the world's first human-like intelligence in general-purpose robots.



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