Machine Learning Implementation Engineer
Position Overview:
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 success
Technical Landscape:
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
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.
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
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
Additional Requirements:
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
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.)
About the job
Apply for this position
Machine Learning Implementation Engineer
Position Overview:
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 success
Technical Landscape:
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
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.
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
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
Additional Requirements:
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
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.)