Machine Learning Implementation Engineer
Description For Machine Learning Implementation Engineer
OfferFit, founded by former McKinsey and BCG math PhDs and backed by leading Silicon Valley VCs, is revolutionizing marketing automation with their AI decisioning engine. The platform leverages reinforcement learning AI to enable 1:1 personalization for lifecycle marketing campaigns, serving major brands like Brinks Home, Yelp, and MetLife.
As a Machine Learning Implementation Engineer, you'll join a dynamic team of technical experts working directly with customers to implement and optimize AI solutions. The role combines hands-on technical work with customer-facing responsibilities, offering a unique opportunity to impact both product development and customer success.
The technical stack includes Python (with frameworks like Pandas, TensorFlow, FastAPI), SQL, and modern DevOps tools (Kubernetes, Airflow, GCP). You'll be working with production-grade AI pipelines, not just experimental notebooks, in an environment that emphasizes development best practices including unit testing, CI/CD, and code reviews.
The position offers competitive compensation ($112,000-$129,000 base salary plus bonus), comprehensive benefits, and a flexible remote work environment. The company culture strongly emphasizes professional growth, with regular team gatherings, mentorship opportunities, and a commitment to diversity and inclusion.
This role is perfect for someone who combines strong technical skills with excellent communication abilities, enjoys solving complex problems, and wants to work at the cutting edge of AI implementation in a customer-focused environment.
Responsibilities For Machine Learning Implementation Engineer
- Collaborate with customer Analytics/BI teams on implementations
- Extend product capabilities by improving architecture and developing reusable data pipelines
- Work with ML pipeline development team to improve reinforcement learning algorithms
- Participate in determining product strategy and roadmap
- Oversee continuous customer support
Requirements For Machine Learning Implementation Engineer
- Must be able to fully overlap with North America time zones
- Fluent in English (written and verbal)
- Clean, object-oriented coding skills
- Strong communication skills
- Structured and organized approach to work
- Willingness to travel 10-15% for company gatherings and customer meetings
Benefits For Machine Learning Implementation Engineer
- 25 days PTO per year
- 12 weeks paid parental leave
- 100% remote work with flexible hours
- Quarterly in-person team gatherings
- Weekly team events
- Medical, vision, dental and LTD benefits
- 401K matching program
- Bonus ranging $13,000-$15,000
- Equity options
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