Experience building end-to-end production machine learning systems
Strong foundation in statistics and practical judgment with real-world data
Knowledge in ranking, optimization, personalization, and recommendation systems
Excellent communication skills for conveying complex technical concepts
Previous experience in growth or conversion teams
Responsibilities
Transform product challenges into machine learning applications
Develop systems to enhance conversion rates, engagement, and revenue
Create simulation and evaluation frameworks for ML systems
Establish experimentation and causal inference methodologies
Design models for personalization, ranking, targeting, and resource allocation
Identify automated opportunities for improving customer outcomes and assess current system performance
Construct a unified optimization system across diverse product lines
Benefits
Flexible (Unlimited) Paid Time Off
Comprehensive medical, dental, and vision insurance for employees and families
Life insurance and disability coverage
401k retirement plan with company matching
Covered meals while in the office
Gym membership included
Full Job Description
We're looking for Applied Scientists to turn raw data across Coframe-managed surfaces into decisions, measurable lift and insights. This role sits at the intersection of reinforcement learning, experimentation and ranking/personalization.
Your strategies and models will generate lift (though revenue for customers) without any humans in the loop.
You're a great fit if you have:
built production machine learning systems end to end
strong statistics fundamentals and practical judgment with real-world data
experience with ranking, optimization, personalization, bandits, or recommendation systems
great communication skills to explain complex technical problems and solutions to the rest of the team and to understand the real need and pain of the business we serve.
worked in growth or conversion teams before
What you'll do:
convert product problems into ML problems
build systems that optimize conversion, engagement, and revenue using various strategies
build simulation and evaluation frameworks for such systems
develop experimentation, causal inference, and measurement frameworks
build models for personalization, ranking, targeting, and allocation
detect opportunities for automated gains across customer programs, analyze performance of existing systems
build single optimization system across multiple product lines
Benefits:
Flexible (Unlimited) Paid Time Off
Medical, Dental, and Vision benefits for you and your family
