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    Machine Learning Operations Engineer - Vancouver, BC, Canada - Sanctuary AI

    Sanctuary AI
    Sanctuary AI Vancouver, BC, Canada

    2 weeks ago

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    Description
    Your New Role and Team

    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 new 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.

    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 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.

    Members of the Sanctuary AI team founded D-Wave (a pioneer in the quantum computing industry), Kindred (first use of reinforcement learning in a production robot), and the Creative Destruction Lab (pioneered a revolutionary method for the commercialization of science for the betterment of humankind).

    The team has experience launching market-defining innovations rooted in previously unsolved and deep scientific problems.
    Recruiting &

    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.

    #J-18808-Ljbffr
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