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    Senior Machine Learning Engineer - Oklahoma City, United States - Money Fit by DRS

    Money Fit by DRS
    Money Fit by DRS Oklahoma City, United States

    3 weeks ago

    Default job background
    Description
    About Metaplane

    Metaplane helps companies trust their data.
    Before Metaplane, data teams were often the last to find out about data quality issues.

    Silent data bugs can disrupt ETL systems, warehouses, and downstream BI tools, causing incorrect decisions to be made and a loss of trust in the data that is hard to gain back.

    Imagine software engineering teams lacking a tool like Datadog and only finding out about issues when users complain or simply stop using your application — that is the state of data teams today.

    We're building a platform for high performing data teams (like Bose, Sotheby's, Ramp, Klaviyo, Sigma, and many more) so they can continuously monitor their data pipelines and know when things break, what went wrong, and how to fix it — all before downstream consumers message them asking "is this dashboard broken?"
    We're a Boston-based, remote-friendly company founded by MIT and HubSpot alums.

    Metaplane is backed by leading investors such as Y Combinator, Flybridge, Felicis, Khosla Ventures, and notable angel investors, including Dharmesh Shah (HubSpot), Frederic Kerrest (Okta), Kevin Mahaffey (Lookout), and Alex Maccaw (Clearbit).

    Check us out on Software Engineering Daily, Monday Morning Data Chat, and SuperDataScience to learn more about our story. We'd love to have you onboard
    The role

    We're looking for a

    senior machine learning engineer

    to join our growing world-class engineering team. The role will be responsible for all aspects of our machine learning, including data processing, model development and implementation.

    If you love working cross-functionally, owning and shipping features to customers, building scalable and resilient systems our customers rely on every second of the day, and always learning and sharing best practices with the team, then this role is for you.

    Your day-to-day at Metaplane

    Improve the accuracy and scalability of our custom time series anomaly detection models

    Design and build robust validation processes

    Debug and fix modeling issues that are affecting our customers

    Review code changes and design specs from teammates

    What we're looking for someone who

    Has 4+ years building machine learning pipelines with Python

    Has experience working with cloud data infrastructure, such as AWS

    Has an extremely high bar for quality software - you can move fast and ship scalable code with the help of your team

    Enjoys being close to the customer and owning projects to completion

    You'll stand out if you have

    Desire to own engineering end-to-end. We make significant model changes or re-design models from scratch, deploy into production environments, and make sure the code is maintained

    Love for talking to users, understanding their needs, and making sure your product meets their requirements

    Appetite for working in fast-paced environments where you get to work directly with customers and make decisions that have a huge impact on the business

    Desire to create and maintain an engineering culture of craftsmanship

    Experience with Java, time series modeling, anomaly detection, or the modern data stack (e.g. Fivetran, Snowflake, dbt, Looker)

    Benefits of Working at Metaplane

    Competitive salary and equity

    Fully covered health, dental, and vision insurance

    401(k) plan with employer match

    Work-from-home stipend

    Ownership of your work, and collaboration with a closely-knit team

    #J-18808-Ljbffr
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