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.
Orchestrate technical delivery as the primary post-sale point of contact, coordinating with Solutions Architects, Engineers, and Support.
Drive adoption value by guiding customers through implementation to achieve business goals using Vector Search.
Manage technical health, stakeholder alignment, and serve as escalation manager for critical issues.
Qdrant is an open-source vector search engine powering next-generation AI applications, trusted by global leaders like Canva, HubSpot, and Tripadvisor. Recently raising $50M in Series B funding, we are a remote-first, rapidly growing company with a diverse team committed to shaping the future of AI.
Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
Build performance tooling, optimization playbooks, and efficiency primitives that benefit multiple teams.
Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit has a flexible workforce and values collaboration.
Develop scalable ML pipelines across the full lifecycle and champion responsible AI for content understanding models and signals in production.
Provide technical leadership and mentorship to ML engineers and software engineers, setting technical standards and conducting design reviews.
Build evaluation and quality monitoring systems for content understanding signals using state-of-the-art LLM-as-judge practices.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
Lead Data + ML Platform strategy and execution, including MLOps and data engineering.
Build and scale the engineering team, coaching engineers and fostering a culture of ownership.
Partner cross-functionally with Product, Hardware, and Data Science to drive technical direction and business outcomes.
Inspiren offers the most complete and connected ecosystem in senior living, founded by a former Green Beret turned cardiothoracic nurse. The company is building an integrated platform with smart sensors and analytics to improve care outcomes.
Own and improve the machine learning models and systems powering the Home feed and Shortcuts experience.
Design and build personalized recommendations serving millions of Spotify listeners globally.
Train, fine-tune, and optimize large language models using techniques like SFT and distillation.
Spotify is a leading audio streaming platform that delivers personalized music and podcast experiences to millions of listeners globally. The Personalization team is a large, collaborative group behind iconic features like Discover Weekly, with a culture of innovation and user-centricity.
Define and drive the product strategy for a confidential intelligence platform supporting Scout's service ecosystem.
Lead complex decisioning and system design for a 0-to-1 backend platform with AI/ML integration.
Collaborate with engineering, data, and operations to ensure scalable, explainable, and reliable system outcomes.
Scout Motors carries forward the heritage of an iconic American vehicle brand, focusing on electrified and digitized pickup trucks and SUVs. They are a startup-like company building a diverse and entrepreneurial team with a culture of innovation and respect.
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.
Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
Deliver buying models that maintain positive ROAS and improve lead quality across a portfolio of brands.
Establish trusted, direct partnership with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology. With a remote-first team spanning over 15 countries and reaching 30M+ monthly visitors, they have a high-growth, high-performance culture focused on speed, ownership, and measurable impact.
Own Search & Discover as a product domain, developing deep understanding of user jobs-to-be-done and driving the roadmap.
Lead discovery through user interviews and prototyping, validating assumptions before committing engineering effort.
Partner with UX and engineering teams to define AI-powered capabilities and ensure alignment with business goals.
Preservica is trusted by governments, archives, libraries, and enterprises worldwide to safeguard critical digital information for the long term. They are at the forefront of bringing AI capabilities into digital preservation, with a team of bright and talented innovators.
Lead the ML strategy for Workforce Management, delivering production systems for forecasting, routing, and optimisation.
Coach and develop a growing team of Machine Learning Scientists embedded in product squads.
Work cross-functionally with Product, Engineering, Data, and Operations leaders to solve ambiguous operational problems.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pension consolidation. With over 10 years of growth in the UK and a focus on financial education and award-winning customer service, Monzo has a vibrant culture and a strong commitment to diversity and inclusion.
Own the end-to-end product strategy and roadmap for data platform capabilities and intelligence products.
Define and launch intelligence solutions such as signals, scores, and insights that create measurable customer value.
Partner closely with AI engineering, data science, and platform teams to drive execution and manage dependencies.
The company develops AI-powered enterprise solutions that transform data into actionable intelligence. It fosters a remote-first culture with a focus on innovation, learning, and employee well-being.
Own the internal AI product surface end to end, from discovery to prototype to production.
Prototype AI agents and automations yourself using tools like Claude and Cursor.
Drive adoption and set the vision for AI as it grows from a team into a platform.
Tremendous is a global platform for businesses to send thousands of payouts to anyone, anywhere, for free. They are a profitable, fully remote company with a high-documentation, low-meeting culture and an employee NPS in the high 80s.
Own the product vision and strategy for the logged-out website, defining high-leverage opportunities for user acquisition.
Collaborate with engineering, design, marketing, and data teams to launch and iterate on web products and the internal tech stack.
Drive AI-first transformation, track KPIs like core web vitals, and influence company-wide strategy with data-driven insights.
SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. The company is trusted by millions from startups to Fortune 500 firms, with over 25 years of experience and a global team working in a flexible, hybrid environment.
Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.
Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI systems
Collaborate with engineers across the AI stack including prompt engineering and agentic workflow optimization
Run structured experiments and monitor production AI systems to optimize latency, cost, and scalability
Quora is a global knowledge sharing platform with over 300M monthly unique visitors, connecting people to share insights and learn. Poe provides a platform for users to chat and build with AI language models. They are a remote-first company with a culture rooted in transparency and experimentation.
Lead the evolution of personalized recommendation systems using machine learning.
Build, deploy, and optimize machine learning models in production.
Collaborate with cross-functional teams to deliver AI-driven experiences.
The company builds advanced machine learning solutions to improve user discovery and engagement. It operates as a fully remote global team with a focus on collaboration and innovation.
Drive product and business impact through statistical modeling, experiment design, and Bayesian marketing analysis across our search engine and AI products.
Build monitoring pipelines and evaluation datasets to detect traffic pattern shifts and improve AI-assisted answers in a privacy-first environment.
Collaborate with product teams to design and analyze experiments, deriving insights from sparse, privacy-constrained data.
DuckDuckGo is an online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, we offer a culture of trust, inclusivity, and empowered project management where each team member takes full ownership of their projects.
Define and drive the technical roadmap for personalization and recommender systems, prioritizing items to meet business goals.
Design and lead development of software used by multiple teams, ensuring maintainability, scalability, and adaptability.
Mentor senior and mid-level scientists, setting high code quality standards and best practices for the team.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom, and many other regions around the world. Our vibrant and diverse international community of nearly 300 publishing brands and imprints includes Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, and many others.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.