Machine Learning Applied Scientist (Reinforcement Learning)

Airtm; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking a reinforcement learning researcher to tackle real-world challenges in customer communication. In this role, you will collaborate with the CTO and engineering team to enhance algorithms and develop advanced diagnostic tools. You will gain access to large-scale datasets and computational resources, bridging cutting-edge research with practical applications. Join a diverse team focused on mentorship and continuous learning, while enjoying a flexible remote work environment and generous benefits. This is an exciting opportunity to make a tangible impact in a fast-paced setting.

Benefits

Generous PTO (25 days per year)

12 weeks paid Parental Leave

100% remote work environment

Quarterly team gatherings

Weekly team events

Competitive benefits (medical, vision, dental)

401K matching program

Qualifications

• Experience in reinforcement learning and developing advanced algorithms.
• Strong coding practices and ability to work with APIs and ML components.

Responsibilities

• Improve RL algorithms for performance and sample efficiency.
• Conduct research on RL techniques for marketing optimization.

Skills

Reinforcement Learning

Python

Machine Learning

Problem Solving

Collaboration

Clear Communication

Education

Ph.D. in Computer Science

MS with professional experience

Tools

Python ML ecosystem

Spark

BigQuery

FastAPI

Kubernetes

Airflow

Terraform

GCP

Job description

OfferFitwas founded by ex-McKinsey and BCG math PhDs, and we’re funded byleading Silicon Valley VCs. OfferFit’s AI decisioning engine supports1:1 personalization for lifecycle marketing campaigns, powered byreinforcement learning AI. This allows marketers to test & improvethe performance of their campaigns much faster than before. Customersinclude leading brands like Brinks Home, Yelp, Chime, Engie, andMetLife, 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, andwe 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!

Ourteam is growing! We’re looking for an RL researcher or practitioner whowill apply reinforcement learning to solve real-world customercommunication challenges. In this role, you'll work closely with theCTO and Engineering team to improve sample efficiency, test creditassignment and attribution algorithms, investigate and improve ourapproach to action space featurization, reward shaping, combining RLwith constrained optimization, and other interesting challenges.Currently, we use ensembles of contextual bandits to achieve high sampleefficiency and coordination of decisions, and we’re constantly testingand 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.

1. Opportunity to bridge cutting-edge RL research with real-world applications.
2. Access to large-scale datasets and computational resources.
3. Support for continued research, including conference attendance and publication.
4. Collaboration with a diverse team of experts in ML, engineering, and marketing.
5. JoinOfferFit’s fast-paced, supportive, and professional team. We make sureall of our team members are empowered and receive great mentorship andcoaching.

Who’s a Fit:

• Exceptionalcoder: you have experience on writing clean, well-designed, versionedcode; 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 acrossmultiple teams to get things done. You’re willing to both help and askfor 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. inComputer Science, Machine Learning, or a related field with a focus onReinforcement Learning. MS with professional experience with RL is finetoo.

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 to10-15% travel for company-wide quarterly gatherings, team offsite workshops, customer meetings, and industry-related events

The base salary range for thisposition in the United States is $120,000-$180,000 per year, pluseligibility for additional bonus ranging $15,000-$22,000; Eligibilityfor an additional end of year performance bonus, commissions (whenapplicable) and/or equity options may be provided as part of thecompensation package, in addition to a full range of medical, financial,and/or other benefits, depending on the position offered. Please notethat we adjust compensation for non–US countries using a relative costof labor adjustment between the US and your country of residence.Applicants should apply via OfferFit’s internal or external careerssite.

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 tolearn and develop from an experienced leadership team (ex-Amazon,McKinsey, BCG, and IBM, among others) who are focused on building atalented, diverse, and inclusive team
• Dedicationto building a strong culture (e.g., team resource groups, weeklyrecognitions, major life event celebrations, mentalhealth/sustainability days off, etc.)
• [US Only] Competitive benefits (major medical, vision, dental and LTD) and 401K matching program

OfferFitis committed to a diverse and inclusive workplace. OfferFit is an equalopportunity employer and does not discriminate on the basis of race,national origin, gender, gender identity, sexual orientation, protectedveteran status, disability, age, or other legally protected status.