Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding.
Lead projects from ideation → modeling → experimentation → production → iteration.
Design and improve recommender systems and ranking models across surfaces (feed, search, notifications).
Reddit is a community of communities that's built on shared interests, passion, and trust. It is home to open and authentic conversations, with over 100,000 active communities and approximately 121 million daily active unique visitors.
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Reddit is a community of communities built on shared interests and trust, and is home to open conversations on the internet. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
OnePay is a consumer fintech company trusted by millions of Americans. They provide an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place and are backed by Walmart and Ribbit Capital.
You’ll own the development and testing of deep learning architectures that define how Tilt understands risk.
You’ll partner with peers in Engineering and Product to ensure our models are effective and scalable in the real world.
You’ll look past the symptoms of a data problem to find the root cause and turn complex findings into clear, actionable solutions for our lending platform.
Tilt is creating a new credit system that backs the working, whatever they're working toward. They have millions of customers worldwide and they are changing how people access financial products. At Tilt, they see a side of people that traditional lenders miss.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Contribute to the entire development cycle of our cutting-edge large deep learning models.
Collaborate across engineering and clinical teams to translate cutting-edge AI research into practical applications that have clinical implications.
Influence progress of relevant research communities by producing publications.
Sword Health is shifting healthcare from human-first to AI-first through their AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, and they foster an environment where everyone feels they belong and can excel.
Drive the design and evolution of AI-ready tools and APIs for LLM platforms.
Own and evolve evaluation frameworks that measure tool-use accuracy across platforms.
Shape Canva's agent architecture, making strategic technical decisions about intelligence location.
Canva is a design platform that enables users to create various visual content. They have offices in multiple locations in Australia and New Zealand, and they offer a flexible work environment.
Collaborate with an agile team focused on product development in Data Science.
Analyze and prepare complex datasets for client projects.
Evaluate current market developments in Advanced Analytics and Machine Learning.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design and maintain training systems that can process and learn from petabyte-scale multimodal datasets.
Identify and resolve bottlenecks in the training pipeline to maximize GPU utilization and reduce training time.
Work with the ML team to develop and refine neural network architectures suitable for autonomy tasks.
Serve Robotics is reimagining how things move in cities. Their personable sidewalk robot is their vision for the future; it's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. Their team is agile, diverse, and driven aiming to grow robotic deliveries from surprising novelty to efficient ubiquity.
Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
Research, implement, and adapt new algorithms and model architectures from recent ML papers.
Collaborate closely with talented engineers to translate research insights into robust, deployable models.
Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors. They have customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors, with a team of sixteen in the US. Their culture is based on transparency, mutual respect and accountability.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Design, train, and ship machine learning models that power recommendations on the Now Playing View for hundreds of millions of users
Own ranking systems end-to-end, from experimentation and training pipelines to online serving and monitoring
Build and iterate on generative and agentic ML approaches to improve session steering and cross-content discovery
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.
Build and evolve sophisticated, multi-stage retrieval and ranking systems.
Bridge applied ML/AI with production backend engineering to deliver performant and intelligent algorithms.
Scale recommendation systems to support growth and increasingly complex marketplace dynamics.
Raya is a company that focuses on connecting people. They appear to be a growing company, scaling their recommendation systems to support growth and increasingly complex marketplace dynamics.
Develop and train machine learning models for scene understanding.
Implement production-quality ML code to support model training.
Analyze model performance, identify failure modes, and propose improvements.
Torc Robotics is dedicated to developing autonomous driving technology. They aim to revolutionize the trucking industry with safe and efficient self-driving solutions.