Machine Learning Engineer

Position Overview:

Do you enjoy working on data-intensive products and being involved in projects from an early stage?  Come join our quickly growing Engineering team to help design improve and scale OfferFit's self-learning (reinforcement learning) AI platform.

In particular you will:

• Use robust software engineering best practices to design implement and improve modular components in a cutting-edge ML product.

• Work closely with customer-facing teams to understand translate and generalize particular use cases to generic platform components.

• Apply your extensive knowledge of Python and its ecosystem to produce clean readable and extendible code and coach others on the team in doing the same.

• Collaborate with teams responsible for OfferFit’s product strategy and roadmap.

• Support teams implementing OfferFit for customers to ensure their success.

• Work closely with our Applied Science team (data scientists) to help productize and deploy attribution and reinforcement learning algorithm improvements

• Improve our core data pipelines and reporting architecture.

Tech stack:

• Data Science/Back End: Python (Pandas Polars Ibis Spark) SQL BigQuery FastAPI

• Web [Not required for this role] : JavaScript (Vue Node.js) HTML CSS

• Architecture/DevOps: Kubernetes Airflow Terraform GCP

• We write well-tested type-hinted documented modular code and use pre-commit hooks CI/CD and issue tracking for development.

Why is it great:

No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!

• 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.

Who’s a Fit:

• 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 especially in the data architecture and data science domains.

• 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 speech.

• Background in Machine Learning Engineering and/or Data Engineering is preferred. Some Data Science experience is nice-to-have but is not required.

Ideal Skills and Experience:

• 2+ years of experience working with Python in a production setting including 1+ years in the data / machine learning ecosystem

• Experience working with at least one major cloud platform (GCP AWS Azure etc.)

• Experience putting ML models into production

• General understanding of supervised learning principles is a plus but not required

OfferFit Benefits and Perks:

• 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.)

Additional Requirements:

• Fluency in English is required for this position

• Ability to partially overlap with US time zones required

Please note that we adjust compensation for non–US countries using a relative cost of labor adjustment between the US and your country of residence.  Applicants should apply via OfferFit’s internal or external careers site.