Ranking Jobs

Launch Potato seeks a Senior ML Engineer (Recommendation Systems) to build and operate large-scale personalization and ranking models delivering real-time recommendations across a high-traffic media portfolio.

Launch Potato is looking for a Senior Machine Learning Engineer to build and operationalize large-scale recommendation systems delivering 100M+ predictions daily to improve user engagement and revenue.

Profound, an NYC AI startup backed by Sequoia, is hiring an AI/ML Engineer to build production-scale NLP and LLM systems for content classification, generation, and measurement.

Mercor is hiring an early-career Data Scientist in San Francisco to drive experiments, metrics, and prototypes that improve hiring match quality and product metrics using SQL, Python, and causal thinking.

Principal Product Manager to own and advance AI-powered search strategy and delivery for Elsevier’s Clinical Solutions, improving relevance, personalization, and clinician workflow integration at scale.

SquarePeg.ai seeks an AI/NLP Engineer to design and ship the matching, retrieval, and scoring systems that power our resume-to-job recommendation engine.

Launch Potato is hiring a Senior Machine Learning Engineer to develop production ML models for personalization and ranking that drive revenue at scale.

Launch Potato is hiring a Senior ML Engineer to build production-scale personalization and ranking systems that deliver real business impact across its media portfolio.

Lead a team of ML engineers to design and deliver next-generation large-scale personalization and multi-stage ranking systems while contributing hands-on to model development.

Lead search and personalization engineering at Coupang to design, implement, and evaluate ML-driven retrieval and ranking systems that improve conversion and customer experience.

Lead a team of ML engineers at Launch Potato to design, build, and productionize next-generation personalization and ranking systems that scale across large audiences.

Lead a team of ML engineers to design and deliver large-scale personalization and ranking systems while contributing hands-on to model development and deployment for a fast-growing digital media company.

Lead the design and delivery of next-generation generative AI search and ranking systems at Coupang to improve discovery, conversion, and scalability across the search stack.

Senior Software Engineer to help design, scale, and optimize Handshake’s personalized feed and recommendation infrastructure in a high-impact, cross-functional environment.

Senior Machine Learning Engineer (Recommendations) to design and deploy scalable ML systems and generative AI features that improve personalized discovery across Scribd's products.

Inclusive & Diverse

Rise from Within

Mission Driven

Diversity of Opinions

Work/Life Harmony

Take Risks

Collaboration over Competition

Fast-Paced

Growth & Learning

Transparent & Candid

Feedback Forward

Dare to be Different

Medical Insurance

Paid Time-Off

Maternity Leave

Mental Health Resources

Equity

Paternity Leave

Flex-Friendly

Snacks

Social Gatherings

Company Retreats

Fitness Stipend

Paid Holidays

Summer Fridays

Work Visa Sponsorship

Bias Training

Flexible Spending Account (FSA)

Health Savings Account (HSA)

Vision Insurance

Dental Insurance

Life insurance

Meta is seeking a Machine Learning Software Engineer to develop scalable ML systems and production algorithms that power recommendations, ranking, and prediction at internet scale.

Lead the strategy and execution of next-generation enterprise search and knowledge-graph-driven conversational experiences that power ServiceNow’s AI platform and customer value.

Lead the architecture and delivery of Quizlet’s personalization and recommendation systems to transform the product into an AI-powered learning coach that increases engagement and conversion.

Lead and grow a machine-learning engineering team to build scalable programmatic ad systems (RTB/DSP) that optimize ad relevance and yield for Pinterest.

Work with a remote-first, product-focused team to research and productionize ML systems that make the browser more helpful and delightful for a broad audience.