Senior Machine Learning Applied Scientist (Reinforcement Learning)

Our team is growing! We’re looking for an RL researcher or practitioner who will apply reinforced learning to solve real-world customer communication challenges.  In this role you'll work closely with the CTO and Engineering team to improve sample efficiency test credit assignment and attribution algorithms investigate and improve our approach to action space featurization reward shaping combining RL with constrained optimization and other interesting challenges. Currently we use ensembles of contextual bandits to achieve high sample efficiency and coordination of decisions and we’re constantly testing and implementing improvements.

Your responsibilities will include:

• Improve RL algorithms to increase performance sample efficiency and robustness at scale

• Develop and apply advanced diagnostic tools including off-policy evaluation methods

• Conduct research on state-of-the-art RL techniques and their applicability to marketing optimization

• Implement better monitoring and observability tooling

• Work closely with engineering teams to improve OfferFit’s platform and develop APIs for OfferFit ML components

• Participate in customer implementations to gain insights into real-world use cases

• Contribute to OfferFit’s product strategy and roadmap

Tech stack:

• Data Science/Back End: Python ML ecosystem Spark BigQuery FastAPI

• Architecture/DevOps: Kubernetes Airflow Terraform GCP

• Web [not required for this role] : TypeScript JavaScript Vue.js and its ecosystem Node.js Strapi PostgreSQL HTML5 CSS3

• 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 generating real value.

• Opportunity to bridge cutting-edge RL research with real-world applications.

• Access to large-scale datasets and computational resources.

• Support for continued research including conference attendance and publication.

• Collaboration with a diverse team of experts in ML engineering and marketing.

• 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 have experience on writing clean well-designed versioned code; you care about good coding practices and terse testable APIs.

• Problem solver: you thrive on tackling complex real-world challenges with novel ML approaches

• Impact-driven: you're motivated by seeing your research translate into tangible business outcomes

• Collaborative: You enjoy working closely with a team of driven individuals across multiple teams to get things done. You’re willing to both help and ask for help.

• 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.

• Ph.D. in Computer Science Machine Learning or a related field with a focus on Reinforcement Learning. MS with professional experience with RL is fine too.

Additional Requirements:

• Candidates must be able to partially 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

The base salary range for this position in the United States is $193000-$241000 per year plus eligibility for additional bonus ranging $27000-$33000; Eligibility for an additional end of year performance bonus commissions (when applicable) and/or equity options may be provided as part of the compensation package in addition to a full range of medical financial and/or other benefits depending on the position offered.  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.

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.)

• [US Only] Competitive benefits (major medical vision dental and LTD) and 401K matching program