Ranking Jobs

Thrad seeks an Applied Scientist to design, train, and productionize real-time contextual ad relevance and bidding models for LLM conversations at its San Francisco HQ.

Lead the development of an AI Agent platform and production ML systems at Superhuman, driving orchestration, LLM integration, and proactive product experiences.

Lead product strategy and execution for Coupang's Search & Discovery to build AI-first, large-scale search experiences that drive product discovery for millions of customers.

Inclusive & Diverse

Empathetic

Take Risks

Transparent & Candid

Feedback Forward

Mission Driven

Collaboration over Competition

Work/Life Harmony

Maternity Leave

Paternity Leave

Snacks

Medical Insurance

Dental Insurance

Vision Insurance

Mental Health Resources

Life insurance

401K Matching

Paid Sick Days

Paid Time-Off

Paid Volunteer Time

Lead the design and delivery of production personalization, ranking, and multi-objective optimization systems that improve listener experience across Spotify's platforms.

Lead backend engineering for core product services—feeds, ranking, realtime, and financial systems—at a small, product-focused startup that values ownership and strong engineering judgment.

Lead the design and production of recommender and personalization systems at Quizlet, applying large-scale retrieval, embedding, and ranking techniques to improve learner engagement and mastery.

Lead the design and delivery of scalable ML systems for recommendations, ranking, personalization, and LLM-based features at Bumble, driving measurable user outcomes and mentoring engineering teams.

At Handshake, you will build and operate ML models—especially graph- and embedding-based approaches—that improve relevance and discovery for students and employers across a global platform.

LinkedIn seeks a Hybrid Machine Learning Engineer to build and deploy scalable relevance and evaluation models for recommender systems and generative/NLP-driven product features.

Lead the product strategy and execution for Bumble’s Matching & Recommendations, shaping machine-learning-driven discovery and personalization across the platform.

Lead the developer-facing search product at Firecrawl by converting research improvements into production search APIs, docs, and examples that delight developers.

Lead the design and scaling of Bumble’s matching, recommendation, and agentic AI systems to deliver low-latency, ML-powered experiences across the product.

Help scale Creatify’s production ML stack and build state-of-the-art models for recommendation, ranking, and generative video ad workflows as a Machine Learning Engineer on our Mountain View team.

Lead LinkedIn’s Ads AI engineering team to architect and deliver LLM-driven recommendation and ad-ranking systems that measurably improve advertiser outcomes.