Machine Learning Implementation Engineer

June 20

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Logo of OfferFit


Make the leap from A/B to AI

marketing technology • artificial intelligence • self-learning AI • promotions • promotional offers

51 - 200

💰 $14M Series A on 2021-11


• As our customer base continues to grow with the excitement around our product, we're looking to expand! Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit! • In particular, you will: • 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 OfferFit’s product strategy and roadmap • Oversee the continuous support OfferFit provides customers to ensure their succes


• Exceptional coder: 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 persuasivel


• 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 “barometer” meetings) • Ability to learn and develop from an experienced leadership team (ex-Amazon, McKinsey, BCG, and IBM, among others) who are focused on building a talented, diverse, and inclusive team • Dedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)

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