2 hours ago
Base Salary
$189k - $390k/yr
Responsibilities
- Lead multiple technical sub-areas within Growth Content Science.
- Drive machine learning model improvements from ideation through production launches using an A/B-test-driven innovation loop.
- Own training pipelines, feature and serving infrastructure, evaluation frameworks, monitoring, and A/B test setup.
- Build complex real-time recommendation models and systems for notification content ranking.
- Establish technical direction and roadmaps while leading cross-functional initiatives and making difficult system and user-experience tradeoffs.
- Mentor engineers and raise standards through code reviews, design reviews, documentation, evaluations, and technical standards.
- Apply state-of-the-art techniques and collaborate on novel research directions.
- Use AI tools to continuously improve work speed and quality.
Requirements
- Graduate degree in Computer Science or a related field.
- At least 8 years of machine learning engineering experience, including building and shipping models for a large-scale, real-time, end-user production recommender system.
- Expertise in recommender modeling, user-behavior sequence modeling with transformer architectures, DNN rankers, and generative or LLM-native recommenders.
- Experience building and operating high-QPS, latency-constrained ML systems, including training and serving infrastructure, with ownership of cost, latency, and reliability tradeoffs.
- Industry-grade software engineering experience and a strong record of code and design reviews.
- Understanding of content personalization, content quality, cold-start users, and low-signal users.
- Experience leading technical work across teams and making timely decisions on complex tradeoffs.
- Experience mentoring junior engineers.
- Outstanding written and verbal communication skills in cross-functional environments.
- Demonstrated use of AI to improve speed and quality in applied research.
- Strong track record of publications and patents.
Benefits
- Remote work within the US with in-office collaboration required 1–2 times per quarter.
- The position is not eligible for relocation assistance.
- Eligible for equity in addition to base salary.
- Pinterest provides workplace benefits and an equitable, inclusive work environment.
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.