Own search, discovery, and recommendations end to end, from underlying data and indices to relevance, ranking, and user-facing experience.
Build and improve backend services and APIs powering matching across a knowledge graph with focus on precision, recall, and performance.
Ship user-facing search and discovery features across the stack, partnering closely with product and design.
Office Hours is an on-demand expert network connecting leading organizations with trusted experts across various knowledge domains for advisory work, projects, and AI model training. We are a hyper-growth, profitable company headquartered in San Francisco with offices in Brooklyn and Bangalore, backed by top marketplace investors and operators.
Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams.
Drive query intelligence and advance recall systems to improve search-attributed conversion and revenue.
Build evaluation frameworks and optimize ML performance trade-offs for low-latency production.
Constructor provides product search and discovery solutions for large retailers, serving billions of requests weekly. The company is a remote-first, growing team of technologists that values empathy, openness, and continuous improvement.
Design, implement, and refine machine learning models to deliver personalized recommendations.
Lead the design of online and offline experiments to validate model performance and make data-driven decisions.
Work closely with product and engineering teams to deploy new recommendation features and drive alignment across teams.
Canva is redefining how the world experiences design by providing a platform for creating stunning visual content. With over 200 million monthly users and a culture of flexibility and innovation, the team is committed to empowering creativity and collaboration.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across our portfolio of brands.
Establish trusted partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Build and continuously improve cutting-edge Machine Learning models for query understanding, including autocomplete, query tagging, and intent modeling.
Develop natural-language search experiences powered by modern NLP and LLMs, working on smart compose, query expansion, and user-intent sequence modeling.
Collaborate with cross-functional teams and productionize ML models at scale, leveraging third-party and in-house tools.
Airbnb is a global online marketplace for lodging and travel experiences, founded in 2007. It has over 5 million hosts and has welcomed over 2 billion guest arrivals, fostering a culture of belonging and inclusion.
Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.
Define and execute a product roadmap for Search, aligned with Yelp's business objectives and industry trends.
Lead development of Search products from conception to launch, leveraging data-driven insights and algorithm optimization.
Collaborate with engineering, design, and data science to deliver exceptional products and drive consumer engagement.
Yelp is the ultimate guide to local living, connecting people with great businesses in their neighborhoods. With hundreds of millions of users and a vast business ecosystem, Yelp fosters a culture of innovation and collaboration.
Build and evolve a personalized recommendation system for Grafana's Interactive Learning tool.
Develop, validate, and operate applied models, owning model training, serving, and monitoring.
Partner with software engineers and data analysts to productionize models and ship incremental improvements.
Grafana Labs is the company behind the open observability cloud, providing a flexible and scalable managed platform for monitoring and analytics. With over 1,600 team members across 40+ countries, the company fosters a global, collaborative, and innovation-driven culture.
Build and ship ML models to help customers search and find answers about their financial lives.
Develop user and product embeddings, contextual bandits, and personalized ranking algorithms.
Work with a modern cloud-native data platform to deploy models to millions of customers.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with a focus on solving problems and changing lives. With over 15 million customers and a culture of innovation, Monzo prioritizes diversity and inclusion.