Sanctuary AI - a multi award-winning LinkedIn Top Startup company - is looking to hire a Machine Learning (ML) Operations Engineer. Reporting to the Data Collection Team Lead, you’ll gain a comprehensive understanding of the infrastructure that powers our ML training pipelines.
The best candidate for this role will be a versatile, creative engineer with proven experience in infrastructure management, cloud platform operations, and deployment automation. You’ll be a valued contributor as you learn how our sophisticated multi-degree-of-freedom robotic systems work, while collaborating with cross-functional teams, including ML, Platform, Product Design, and Hardware and Sensor teams, to build and operate our data collection and ML model training pipelines.
Our Success Criteria
Build and support a secure, extensive, scalable, repeatable, and high-performing data collection platform
Set up and manage the necessary infrastructure for machine learning workloads, including cloud services, containers, and orchestration tools
Evaluate and deploy current tools and processes to optimize the effectiveness of our data collection and ML research activities
Monitor training cluster performance, and troubleshoot hardware and software errors, including docker and GPU driver issues
Build data collection and ML training pipelines, and support our researchers in containerizing ML workloads
Your Experience
Qualifications
Bachelor's degree or higher in Computer Science or related field
3+ years experience in with Docker, Kubernetes, and at least one of AWS, GCP, or Azure cloud services
2+ years of experience with ML frameworks, platforms and tools
Knowledge of professional engineering practices for the full product life cycle, including coding standards, code reviews, source management, agile, processes, testing, and operations
Demonstrated ability to design, implement, and test in a fast-paced environment
Skills
Demonstrated proficiency with Python for data and ML pipeline development
Demonstrated proficiency with Linux,



Docker, and Kubernetes
Demonstrated proficiency with Observability platforms such as Splunk, Datadog, ELK Stack, and Prometheus/Grafana
Demonstrated familiarity with MLOps and machine learning frameworks such as PyTorch and TensorFlow
A passion for deployment automation practices, such as GitOps and CI/CD
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
Advanced verbal and written communication and interpersonal skills
Self-motivated and able to solve problems independently
Demonstrated ability to influence without authority and create a sense of urgency
Obsession with bringing human-like intelligence to machines
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.
Benefits
Full time (non co-op) employees enjoy medical/dental/vision coverage, life insurance, wellness programs, stock options, paid time off (3 weeks vacation accrued annually, paid statutory holidays, paid statutory sick leave, and statutory parental leave), scheduling and worksite flexibility by role, and more.
About Sanctuary AI
Founded in 2018 by Geordie Rose, Olivia Norton, and Ajay Agrawal, Sanctuary AI is a Vancouver, Canada-based company. Sanctuary AI is on a mission to create the world’s first human-like intelligence in general-purpose robots that will help us work more safely, efficiently, and sustainably. And in the not-too-distant future, help us explore, settle, and prosper in outer space.

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📌 Machine Learning Operations Engineer (British Columbia)
🏢 Sanctuary AI
📍 British Columbia