OfferFit is hiring a
Machine Learning Implementation Engineer

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OfferFit

๐Ÿ’ต $113k-$165k
๐Ÿ“Remote - United States

Summary

The job is for a Machine Learning Implementation Engineer at OfferFit, a company that provides AI testing services to lifecycle marketers. The role involves collaborating with customers and colleagues on implementations, improving product capabilities, participating in determining the product strategy, and overseeing customer support.

Requirements

  • Exceptional coding skills. You write clean, object-oriented code; you care about good design and terse, testable APIs
  • Tinkerer. You regularly explore and learn new technologies and methods
  • Entrepreneurial. You proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
  • Structured and organized. You can structure a plan, align stakeholders, and see it through to execution
  • Clear communicator. You are able to express yourself clearly and persuasively, both in writing and verbally

Responsibilities

  • Collaborate with customer Analytics/BI teams and OfferFit colleagues on implementations (use case definition, data integration, pipeline and ML model configuration, etc.)
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the ML pipeline development team to improve self-learning (reinforcement learning) algorithms
  • Participate in determining OfferFitโ€™s product strategy and roadmap
  • Oversee the continuous support OfferFit provides customers to ensure their success

Benefits

  • Generous PTO (starting at 25 days PTO per year) and Parental Leave policy (12 weeks paid)
  • 100% remote work environment with flexible hours
  • Quarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progress
  • Weekly team events (lunch and learns, trivia, virtual escape rooms, town hall and team health โ€œbarometerโ€ meetings)
  • Ability to learn and develop from an experienced leadership team
  • Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)
  • Competitive benefits (major medical, vision, dental and LTD) and 401K matching program

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