# Applied Scientist, Experimentation at Coframe > Onsite · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Acoframe%3A828ec154-4ccb-4766-8d3f-9e34e665ee50 (read 2026-11-09). ## Facts (observed) - Company: [Coframe](https://alderhq.app/companies/coframe) - Location text: SF Bay Area - Where it can be done from (inferred): Onsite · United States (evidence: "Location: SF Bay Area") - Posted: 2026-04-20 (202 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/coframe/828ec154-4ccb-4766-8d3f-9e34e665ee50 - Skills listed (inferred): Android ## Pay and sponsorship - Posted pay: $180k–$300k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 461): p25 $200k, median $250k, p75 $300k ## Description (the employer's text) ### About Coframe At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are generating revenue, growing rapidly, and trusted by companies you definitely know. Coframe is a primarily in-person company based in San Francisco, well-capitalized with backing from Khosla Ventures, Nat Friedman, the founder of Android, and others. Our team is small and talent-dense, consisting of competitive programmers, former founders (including our founder who previously co-founded a unicorn), and AI researchers from top institutions who have created some of the most popular open-source code generation projects. ### About the role As an Applied Scientist focused on experimentation, you’ll build the intelligence that determines what to test, how to measure impact, and which experiences to ship. You’ll develop an opinionated yet flexible experimentation and analytics platform that powers decision-making across every Coframe product line. Your work will help Coframe extract reliable signals from noisy behavioral data, measure long-term business impact, and continuously optimize customer outcomes with less human intervention. ### You’re a great fit if you have A strong background in statistics, causal inference, machine learning, experimentation, or a related quantitative field Experience designing, building, or significantly evolving large-scale online experimentation platforms Deep knowledge of experimentation design, statistical methodology, and common measurement pitfalls Experience with Bayesian methods, reinforcement learning, contextual multi-armed bandits, or online decision systems Experience modeling delayed outcomes, long-term value, proxy metrics, and incremental lift Strong software engineering fundamentals and experience building reliable production systems The ability to translate product and business problems into rigorous statistical and machine learning approaches Strong product judgment and the ability to connect technical models with customer needs and mental models Experience building personalization, ranking, recommendation, optimization, or allocation systems The ability to communicate complex technical concepts clearly to technical and non-technical stakeholders A pragmatic approach to applied research and a focus on solving real customer problems rather than optimizing in isolation A track record of staying current with developments in experimentation, causal inference, and decision science ### What you’ll do Build experimentation frameworks that power every product line across Coframe Develop statistical models for measuring incremental lift, confidence, and long-term business impact Create decision engines that automatically start, stop, ramp, and optimize experiments Design systems that balance exploration and exploitation throughout the experiment lifecycle Build personalization and optimization algorithms that maximize conversion, engagement, revenue, and other customer outcomes Develop simulation and evaluation frameworks for experimentation and online decision systems Build analytics pipelines that transform large-scale behavioral data into actionable insights Develop causal inference and measurement frameworks for noisy, delayed, and incomplete feedback Model long-term value, proxy metrics, and delayed rewards Identify opportunities for automated performance gains across customer programs Analyze existing systems and translate findings into measurable product improvements Build a unified optimization system that operates across multiple Coframe product lines Work closely with engineering, product, and customer-facing teams to ensure statistical methods reflect real-world requirements ### Benefits Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits 401k Plan with Coframe match Meals covered in-office Gym membership ### Why Coframe Elite Team: Our founder is a serial entrepreneur who previously co-founded a $2B+ unicorn with Tom Brady and guest lectures AI at Stanford. Our team includes researchers from top institutions who created some of the world's most popular open-source code generation projects. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Acoframe%3A828ec154-4ccb-4766-8d3f-9e34e665ee50 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.