Senior Machine Learning Applied Scientist (Reinforcement Learning)

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Requirements:

• Candidates must have a Ph.D. in Computer Science, Machine Learning, or a related field with a focus on Reinforcement Learning. An MS with professional experience in RL is also acceptable.
• Exceptional coder: experience in writing clean, well-designed, versioned code and a care for good coding practices.
• Problem solver: thrives on tackling complex, real-world challenges with novel ML approaches.
• Impact-driven: motivated by seeing research translate into tangible business outcomes.
• Collaborative: enjoys working closely with a team of driven individuals across multiple teams.
• Structured and organized: capable of structuring a plan, aligning stakeholders, and executing.
• Clear communicator: able to express oneself clearly and persuasively, both in writing and speech.
• Must be fluent in English, both written and verbal.
• Candidates must be able to partially overlap and support North America time zones.

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.