Machine Learning Implementation Engineer

Summary

Join OfferFit's Machine Learning Implementation Engineering team as a creative technical expert collaborating with customers to ensure their success. You will work with customer Analytics/BI teams, improve OfferFit's architecture and develop reusable data pipelines, collaborate with the ML pipeline development team, participate in product strategy, and oversee customer support. The ideal candidate is an exceptional coder, a tinkerer, entrepreneurial, structured, and a clear communicator. This is a 100% remote position with flexible hours and generous benefits, including PTO, parental leave, and competitive compensation.

Requirements

• Be an exceptional coder: write clean, object-oriented code; care about good design and terse, testable APIs
• Be a tinkerer: regularly explore and learn new technologies and methods
• Be entrepreneurial: proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
• Be structured and organized: structure a plan, align stakeholders, and see it through to execution
• Be a clear communicator: express yourself clearly and persuasively, both in writing and verbally
• Be able to fully overlap and support North America time zones
• Be fluent in English, both written and verbal
• Be able to travel up to 10-15% for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

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

Preferred Qualifications

• Experience with Python (Pandas, TF, FastAPI, Great Expectations), SQL
• Experience with Kubernetes, Airflow, Terraform, GCP

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.)
• Competitive benefits (major medical, vision, dental and LTD) and 401K matching program
• Base salary range for this position in the United States is $112,000 - $129,000 per year plus eligibility for additional bonus ranging $13,000-$15,000
• Eligibility for an end of year performance bonus, commissions (when applicable) and/or equity options may be provided as part of the compensation package