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.
Machine LearningPythonNLPTensorFlowLarge Language Models
Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
Work cross-functionally with product, design, and engineering teams to design and build efficient AI solutions for customer support.
Learn and share the latest AI/ML technologies with the team to drive innovation.
Airbnb connects travelers with unique stays and experiences hosted by locals worldwide. With over 5 million hosts and 2 billion guest arrivals, the company fosters authentic community connections and values inclusion and belonging.
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.
Developing and iterating on embedding models for advertising use cases, from aggregation pipelines to sequence models.
Building data processing and inference pipelines and evaluating features through end-to-end experimentation.
Ensuring reliability and scalability of ML systems by writing tests, monitoring, and reviewing code.
Reddit is a platform of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the largest sources of information on the internet.
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.
Develop and fine-tune large language models for intelligent, safe, and responsive browser interactions.
Apply retrieval-augmented generation, summarization, classification, and intent modeling in real-world browser workflows.
Collaborate with product and engineering partners to design, iterate, and launch user-facing AI features aligned with Mozilla's values.
Mozilla Corporation is a non-profit-backed technology company that makes Firefox and Pocket, with a mission to reclaim an internet built for people. With over 225 million monthly users and a focus on AI, security, and open-source software, Mozillians work in a collaborative, mission-driven culture.
Define the architecture and contracts for ML serving, feature store design, and model composition.
Lead the buildout of a unified serving stack to streamline model deployment from training to production.
Architect backfill and evaluation infrastructure to enable rapid model iteration.
Airbnb connects hosts offering unique stays and experiences with guests worldwide. With over 5 million hosts and 2 billion guest arrivals, we foster a culture of belonging and innovation.
Design and implement content discovery algorithms to deliver a highly personalized user experience on Reddit's Notifications platform.
Enhance core recommendation capabilities including candidate retrieval, ranking models, and budget optimization, deploying ML models and integrating LLMs.
Serve as the primary ML domain expert, driving architectural decisions and collaborating with product, infrastructure, and data science teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
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.
Develop and refine features for deep learning models using large-scale customer and behavioral datasets.
Implement model architecture changes informed by recent academic research from venues like NeurIPS.
Optimize model training pipelines for efficiency and scalability while collaborating with client teams.
OpenTeams builds AI that empowers, offering energy-efficient and cost-effective models with a commitment to open source. The company values freedom, teamwork, accountability, and quality, and reinvests 3% of profits into the open-source community.
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 ship ML models that power content generation and quality eval scoring for Canva's generated element and template library.
Own the full ML lifecycle — from data pipelines and training through to deployment, monitoring, and iteration.
Partner with Content Engine, CORE AI Research, AI Media, and Discovery teams to align ML work with the broader content strategy.
Canva is redefining how the world experiences design with its intuitive design platform. We serve hundreds of millions of users globally and foster a culture of flexibility, inclusion, and innovation.
Design, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
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.
Design and implement optimization algorithms for auctions, bidding, and pacing to balance advertiser performance and user experience.
Own systems end-to-end from problem formulation to production deployment and iteration.
Collaborate across Ads Optimization and Marketplace Quality to deliver measurable wins for advertisers and Redditors.
Reddit is a community of communities built on shared interests and authentic conversations. With over 100,000 active communities and 126 million daily active users, it is one of the internet's largest sources of information.
Prototype and improve LLM-based features for tasks such as entity extraction, summarization, and document comparison.
Develop and evaluate prompt strategies, embedding approaches, and semantic search workflows.
Collaborate with engineers and product managers to integrate your work into the live platform.
Outmarket is building the AI-powered operating system for commercial insurance. Our team brings experience from Uber, Meta, Adobe, and IBM Watson, and we move quickly from idea to deployment.
Develop and improve NLP systems and language model-powered experiences.
Fine-tune and optimize language models for domain-specific use cases and build evaluation frameworks.
Deploy and maintain production-grade ML systems on GPU infrastructure with a focus on scalability and safety.
BetterHelp removes barriers to therapy and makes mental health care accessible globally. Founded in 2013, it is now the world's largest online therapy service with over 30,000 licensed therapists, and it invests deeply in employee well-being and professional development.