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    Machine Learning Platform Engineer - San Mateo, CA, United States - Roblox

    Roblox
    Roblox San Mateo, CA, United States

    3 weeks ago

    Default job background
    Description

    Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

    At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life.

    We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

    A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

    As a Machine Learning Platform Engineer you will build the next generation of ML Ecosystem Tooling.

    You will have an impact on the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation—providing our developers and creators alike the ability to go from an ML idea to production in weeks or less.

    We are looking for accomplished ML and Systems Engineers to help build the next generation of ML Ecosystem Tooling.
    Passionate about pushing the technological envelope and venturing into the unknown.
    ~ Have a toolchest of system design experience upon which to draw to build scalable, reliable platforms for all of Roblox.
    ~Well versed with the Model Development Lifecycle from initial ad hoc analysis in notebooks to monitored services in production and back again.
    ~ Proficient in DevOps tooling such as Docker, K8S, CI/CD systems
    ~ Experience with best practices in developing Platform / Infrastructure APIs
    ~ Experienced with developing data pipelines in a common framework such as Beam / Spark / AirFlow /
    ~ Understand best practices around Data and Model management
    ~ Understand the use cases for multiple data processing and storage technologies
    ~ Bachelor's degree in Computer Science, Computer Engineering, Data Science or a similar technical field.

    Design and implement the Developer and Creator facing API for declaring E2E ML Pipelines and Model Experimentation.
    Develop the service APIs for ML Infrastructure componentsServing Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
    Work directly with the ML Infrastructure team to identify opportunities for further automation and optimization.
    Have an impact to the state of the Roblox platform, and the industry, to the next level of managed E2E ML Pipeline Development and Automation

    Have an impact as a part of the team that is building a platform to handle the thousands of model experiments per day needed to support everything from ranking and recommendations, through content moderation and fraud prevention, to studio creative tooling.

    The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.

    All full-time employees are also eligible for equity compensation and for benefits.
    Excellent medical, dental, and vision coverage
    Flexible vacation policy
    Roflex - Flexible and supportive work policy
    Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks

    Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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