Senior Machine Learning Applied Scientist - Reinforcement Learning

August 14

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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.

Requirements

• 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.

Benefits

• Generous PTO (starting at 25 days PTO per year) • 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) • 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