Staff Machine Learning Engineer, Growth

July 9

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Funding • Creativity • Technology • Music • Curated Web

201 - 500

💰 Secondary Market on 2022-01

Description

• Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact • Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions • Analyze and prepare training data, including using crowdsourcing data labeling techniques • Train and iterate on machine learning models using novel techniques • Deploy machine learning models to production and write backend code when necessary to properly deploy the model • Debug models when observability shows performance gaps, and iterate on models

Requirements

• experience working in an end-to-end machine learning team environment: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing • writing clean and robust code in Python or other programming languages and having a keen eye for detail in code reviews • experience debugging complex systems with a systematic approach • having a curious mindset and diving deeply into datasets to understand the product and customers • having solid communication skills and writing clear documentation • having a growth mindset and aspiring to continuously improve soft and technical skills • being energized about building the first version of systems and being passionate about empowering creators with new machine learning solutions

Benefits

• salary, equity plans, healthcare, unlimited paid time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching