Offerfit - Boston, MA

posted 27 days ago

Full-time - Entry Level
Remote - Boston, MA

About the position

The role involves applying reinforcement learning (RL) techniques to address real-world customer communication challenges. The researcher or practitioner will collaborate closely with the CTO and engineering team to enhance sample efficiency, test algorithms, and improve the overall approach to RL applications in marketing optimization. This position offers the opportunity to work with large-scale datasets and contribute to the product strategy and roadmap of OfferFit.

Responsibilities

  • 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

Requirements

  • Ph.D. in Computer Science, Machine Learning, or a related field with a focus on Reinforcement Learning
  • MS with professional experience with RL is acceptable
  • Exceptional coding skills with experience in writing clean, well-designed, versioned code
  • Strong problem-solving skills with a focus on real-world challenges
  • Impact-driven mindset motivated by translating research into business outcomes
  • Collaborative spirit with a willingness to help and seek help from others
  • Structured and organized approach to planning and execution
  • Clear communication skills, both written and verbal

Nice-to-haves

  • Experience with Python ML ecosystem, Spark, BigQuery, FastAPI
  • Familiarity with Kubernetes, Airflow, Terraform, GCP
  • Knowledge of web technologies like TypeScript, JavaScript, Vue.js, Node.js, Strapi, PostgreSQL, HTML5, CSS3

Benefits

  • Generous PTO (starting at 25 days PTO per year)
  • 12 weeks paid Parental Leave policy
  • 100% remote work environment with flexible hours
  • Quarterly gatherings in different cities for team bonding
  • Weekly team events (lunch and learns, trivia, virtual escape rooms)
  • Opportunity to learn from an experienced leadership team
  • Dedication to building a strong culture with team resource groups and recognitions
  • Competitive benefits including major medical, vision, dental, and LTD
  • 401K matching program
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