Senior Machine Learning Applied Scientist (Reinforcement Learning)
Company: OfferFit
Location: Boston
Posted on: October 24, 2024
Job Description:
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.
The base salary range for this position in the United States is
$178,000-$229,000 per year, plus eligibility for additional bonus
ranging $21,000-$27,000; 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
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Keywords: OfferFit, Quincy , Senior Machine Learning Applied Scientist (Reinforcement Learning), Other , Boston, Massachusetts
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