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 productWork closely with OfferFit customers to understand, translate and generalize particular use cases to generic platform componentsApply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the sameCollaborate with teams responsible for OfferFit's product strategy and roadmapSupport teams implementing OfferFit for customers to ensure their successTech stack:
Data Science/Back End:
Python (Pyspark, Polars, Ibis), SQL, BigQuery, FastAPIWeb (Not required for this role):
JavaScript (Vue, Node.js), HTML, CSSArchitecture/DevOps:
Kubernetes, Airflow, Terraform, GCPWe 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 APIsTinkerer:
you regularly explore and learn new technologies and methods, especially in the data architecture and data science domainsEntrepreneurial:
you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomesStructured and organized:
you can structure a plan, align stakeholders, and see it through to executionClear communicator:
you are able to express yourself clearly and persuasively, both in writing and speechIdeal Skills and Experience:
2+ years of experience working with Python in a product setting, including 1+ years in the data / machine learning ecosystemExperience working with at least one major cloud platform (GCP, AWS, Azure, etc.)Experience putting ML models into productionGeneral understanding of supervised learning principles is a plus but not requiredAdditional Requirements:
Must be fluent in English, both written and verbalUp to 10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related eventsOfferFit 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 hoursQuarterly gatherings where we meet in person in a different city to work together, bond as a team and celebrate our progressWeekly 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 teamDedication to building a strong culture (e.g., team resource groups, weekly recognitions, major life event celebrations, mental health/sustainability days off, etc.)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.
•