24 days ago
Remote, United StatesStaff+
Base Salary
$185k - $205k/yr
Responsibilities
- Own the recommendation and search personalization strategy, including technical direction, experiment prioritization, and decisions from offline evaluation through user impact.
- Build scalable end-to-end ML systems for ranking, retrieval, and personalization, including pipelines, feature engineering, training, evaluation, and production serving.
- Design and interpret experiments to improve relevance and ranking and respond to changing content, user behavior, and product surfaces.
- Partner with Product and Engineering to integrate models and translate model behavior into measurable product outcomes.
- Collaborate with Data and Security on privacy-first architecture, data access, compliance, security, and operational requirements.
- Mentor engineers, contribute to hiring, and serve as the internal authority on ranking and personalization.
Requirements
- Demonstrated experience building production-scale recommendation and/or search systems.
- Strong ML engineering fundamentals in ranking, retrieval, feature engineering, model training, evaluation, and deployment.
- Proven ability to connect model improvements to measurable user and product outcomes through structured experimentation.
- Strong software engineering skills, including reliable pipelines and services, maintainable code, and debugging distributed systems.
- Ability to communicate trade-offs and align Product and Engineering partners on technical direction.
- Must be authorized to work in the United States without sponsorship.
- Experience in health, fitness, or consumer-facing recommendation platforms is preferred.
Benefits
- Remote position in the United States.
- Employment is at-will, subject to applicable state laws.
- Hiring may be considered in listed U.S. states, but position availability varies by location.
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