Machine Learning Implementation Engineer

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, 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!

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!

1. Be the face of the company, working alongside our customers to help them succeed.
2. Learn tons about data architecture, data science, and self-learning AI.
3. 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.
4. Join OfferFit’s fast-paced, supportive, and professional team. …