2 часа назад
Staff ML Scientist (AI)
204 608 - 306 912$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff ML Scientist (AI) (recommendation and sequential decisioning): Building machine learning systems that determine which member messages to send, when to send them, and through which channel, with an accent on send-time optimization, propensity modeling, and rigorous experimentation. Focus on shipping production models, designing causally sound multi-arm and sequential tests, and mentoring ML scientists across healthcare engagement systems.
Location: San Francisco, United States; hybrid
Salary: $204,608–$306,912 annual base salary, plus equity and benefits.
Company
provides digital musculoskeletal care using software and AI to help members reduce pain, improve function, and avoid surgeries.
What you will do
- Design and ship send-time and channel optimization systems for member notifications.
- Build and deploy propensity models that balance engagement, adherence, fatigue, and unsubscribes.
- Set experimentation standards using multi-arm tests, sequential testing, CUPED, and safeguards against peeking.
- Own at least one machine learning model in production from development through monitoring and iteration.
- Mentor ML scientists, guide technical direction, and collaborate with product, engineering, data science, growth, and marketing.
Requirements
- Bachelor’s degree or higher in Computer Science, Statistics, Operations Research, Machine Learning, or a related quantitative field.
- At least 4 years of experience building and deploying production ML systems at consumer scale; 7+ years is listed as a preferred qualification.
- End-to-end experience shipping a recommendation, ranking, or sequential-decisioning system.
- Fluency in online experimentation and A/B testing, including multi-arm tests, sequential testing, CUPED, and common failure modes.
- Proficiency in Python and SQL, with the ability to review and improve production code.
- Deep understanding of machine learning and applied statistics.
Nice to have
- Production experience with contextual bandits or reinforcement learning.
- Experience with multi-objective optimization, causal inference, and cold-start or low-data-regime modeling.
- Experience hiring and developing a small ML team.
- Healthcare, fintech, or other regulated-data experience, including familiarity with HIPAA and BAA constraints.
- Experience with Statsig, Databricks, feature stores, Airflow, dbt, or TypeScript.
Culture & Benefits
- Medical, dental, and vision coverage for employees and family members.
- Support for gender-affirming care, family and fertility planning, and travel reimbursement when healthcare is unavailable locally.
- Traditional and Roth 401(k) options with a 2% company match.
- Learning and development stipends.
- Digital care enables members to participate in exercise therapy sessions from anywhere.
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