Software Co-op: Machine Learning Operations (Term beginning in January 2024)

Your New Role and Team Our Machine Learning Operations team is looking to recruit a Software Co-op student. Under the guidance of the ML Operations Lead, you will acquire an all-encompassing understanding of the training, testing, deployment, and optimization of the machine learning models that enhance our general-purpose robots. Ideal candidates for this position possess excellent software development and machine learning skills, as well as hands-on experience in model deployment and optimization. You will be a significant contributor, working towards automating and testing model training and deployment to drive continuous improvements in our robotic systems. Our Success Criteria - Gain advanced career experience as you construct and operate machine learning pipelines - Broaden your engineering experience in optimizing the performance of machine learning models on embedded GPUs - Gain visibility company-wide as you collaborate with our simulation and control teams to enable our general-purpose robots to learn new skills - Utilize your organizational and technical skills to translate the latest machine learning research into production deployment Your Experience Qualifications and Skills - Pursuing or have completed a bachelor’s degree in computer science or a related technical field - Strong programming skills in Python - Experience with machine learning frameworks such as Tensorflow and PyTorch - Experience with training and deploying machine learning models - Familiarity with ML Ops platforms such as Weights & Biases or ClearML - Understanding of robotics (ROS) Traits - Positive attitude and readiness to resolve complex problems - Optimistic listening and conflict resolution capabilities - Demonstrated ability to influence others without authority - Keenness to take on new challenges with tenacity and positivity - Patience, persistence, and attention to detail when addressing performance issues - Obsessed with bringing human-like intelligence to machines **Please note, all applicants must upload their Resume and Portfolio to complete the application process for this role.** Working at Sanctuary Sanctuary is an equal opportunity employer; employment is based on skills, competence, 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. Benefits Full-time (non co-op) employees enjoy medical/dental/vision coverage, life insurance, wellness programs, stock options, paid time off, scheduling and worksite flexibility by role, and more. About Sanctuary Founded in 2018 by Geordie Rose, Suzanne Gildert, Olivia Norton, and Ajay Agrawal, Sanctuary is a Vancouver, Canada-based company. Sanctuary is committed to creating the world’s first human-like intelligence in general-purpose robots designed to help us work more safely, efficiently, and sustainably, and in the not-so-distant future, assist in the exploration and colonization of outer space. Sanctuary’s team launched D-Wave (a pioneer in the quantum computing industry), Kindred (the first to use reinforcement learning in a production robot), and the Creative Destruction Lab (revolutionized the method of commercializing science for the benefit of mankind). The team has experience in launching market-defining innovations based on unresolved and deep scientific problems. Recruiting & Employment Agency Notice: Recruitment and hiring is conducted internally by Sanctuary. We are not seeking or soliciting any new agency partnerships or agreements at this time. Any employment agency or professional recruiter (“Agency”) that presents an unsolicited resume or job candidate to Sanctuary, grants Sanctuary the unrestricted right to hire or contract with that candidate at Sanctuary's sole discretion, without any compensation to the Agency. Should the need arise, our Talent Acquisition team will contact external firms directly.