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    Staff Machine Learning Engineer - Vancouver, BC, Canada - Tinder

    Tinder
    Tinder Vancouver, BC, Canada

    1 week ago

    Default job background
    Description

    Founded in Vancouver, Canada in 2003, Plenty of Fish is one of the early pioneers in the online dating industry, with one of the largest and most diverse communities of singles.

    We're one of the top revenue-driving brands in the Match Group (comprised of Tinder, OkCupid, Hinge and Match.
    We work hybrid at Plenty of Fish - IRL in our downtown Vancouver office Monday, Tuesday, Wednesday and work remotely the remainder of the week

    As a Machine Learning Engineer, you will work as part of our ML Platform team, working vertically across the organization.

    Working alongside Data Scientists, Data Engineers, BI, Architects and Product Managers, you will be building the next tools, infrastructure and AI solutions that will allow us to scale our impact across multiple brands and product categories.

    Manage ML model lifecycles, including versioning, training, retraining, deploying and monitoring
    Design and implement high-quality data pipelines that ingest vast amounts of real-time data to power models and generate accurate results
    Design scalable, reliable, and performant solutions to productionize machine learning models
    Develop tools and pipelines for tracking models and experiments
    Explore, design and build AI prototypes capable of significantly altering our users' experiences
    Work in close collaboration with Data Scientists to build AI solutions, test new algorithms, provide feedback on their performance, accuracy and scalability, also suggest alternatives
    Champion a data-driven culture and participate in a highly collaborative environment. S or PhD in computer science (or a scientific discipline coupled with substantial engineering experience)
    Minimum of 7+ years post graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, or similar
    Significant experience in cutting edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)
    Excellent programming skills with history of deployment to production and you have a proven track record of scaling and productionizing machine learning solutions and models
    Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods and sampling theory
    Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)
    Ability to rapidly acquire and adopt new knowledge and techniques but also thinks creatively about problems and not afraid to go "outside the box"
    Proficient with standard SQL and relational databases
    Familiarity with Python and associated data science/machine learning packages
    Comfortability working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary
    Generous vacation, flex days, professional development days


    • RRSP matching, and employee stock purchase plan
    • Professional development budget and unlimited access to Udemy from day one
    • Extended health & dental benefits from day one
    • Corporate ClassPass membership and other wellness benefits
    • Be Proud - We own our ship. Dive Deep - We empathize with our members and use data to surface thoughtful decisions.
    • we welcome all crew (and prospective crew) members regardless of race, colour, ancestry, place of origin, political belief, religion, marital status, family status, physical or mental disability, sex, sexual orientation, gender identity or expression, age, conviction unrelated to employment, or any other prohibited ground of discrimination recognized by applicable law.
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