Machine Learning Implementation Engineer

Summary

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!

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 “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.)
• • [US Only] Competitive Employee benefits (major medical, vision, dental, LTD and parental leave) and 401K matching program

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 OfferFit’s product strategy and roadmap
• • Oversee the continuous support OfferFit provides customers to ensure their success

Desired Traits and Characteristics

• • 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 persuasively, both in writing and verbally

Required Skills

• • Data Science/Back End: Python (Pandas, TF, FastAPI, Great Expectations), SQL
• • Web (not required for this role): JavaScript (Vue, Node.js), HTML, CSS
• • Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP
• • Well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development

Qualifications

• • Candidates must be able to fully overlap and support North America time zones
• • Must be fluent in English, both written and verbal
• • Up to 10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

Additional Information and Instructions

Why is it great: No toy datasets in notebooks — we’re implementing AI pipelines in production at scale! Be the face of the company, working alongside our customers to help them succeed. Learn tons about data architecture, data science, and self-learning AI. Work in a team that not only talks the talk of development best practices, but walks the walk — unit & integration tests, modular design, CI/CD, pair programming, code reviews — the works. Join OfferFit’s fast-paced, supportive, and professional team. We make sure all of our team members are empowered and receive great mentorship and coaching.

About OfferFit

OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with AI testing, powered by reinforcement learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Chime, Engie, and MetLife, among many others. Note for Applicants: Data shows that men on average apply for a role if they meet 6/10 requirements while women often only do so if it’s 10/10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don’t check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application!

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