Deliver on technical initiatives that have significant company-wide impact
Set technical direction for Relevance and Feeds teams, identify opportunities and influence strategy
Mentor and grow Senior and Staff engineers, create a strong healthy engineering culture
Reddit is a community of communities built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Lead the team that designs and architects notifications relevance systems, guiding work on optimization, retrieval, and ranking.
Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
Build and maintain a diverse, collaborative team, serving as a thought partner to product and management to align team goals with company objectives.
Reddit is a platform hosting communities built on shared interests, passion, and trust, facilitating open and authentic conversations online. It is one of the internet's largest sources of information with 100,000+ active communities and approximately 121 million daily active unique visitors, fostering a culture focused on connection and community.
Define team vision and strategic direction for conversion modeling.
Oversee model development from ideation to deployment.
Recruit, mentor, and retain top ML talent.
Reddit is a platform built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Define a unified user understanding framework and strategy.
Lead design and implementation of advanced user models.
Partner with platform teams to design and build core components for large-scale learning and serving.
Reddit is a community-driven platform built on shared interests, passion, and trust. It hosts open conversations and is a major source of online information with over 100,000 active communities and approximately 121 million daily active unique visitors.
Design, build, and maintain scalable training infrastructure for computer vision workloads
Implement and manage distributed training pipelines to support large-scale model training and hyperparameter tuning
Build and maintain robust data pipelines for ML development
Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through their advanced AI solutions. Their computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network.
Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
Own data pipelines including generation, cleaning, validation, and versioning
Build and improve experiment tracking, orchestration, and reproducibility tooling
Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).
Design, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations
Work with messy, real-world data to identify signals, build features, and continuously improve model performance
Make practical tradeoffs between model performance, interpretability, and operational cost
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. River is growing quickly and has raised more than $50 million from leading investors.
Design, build, and deploy scalable machine learning models and AI systems that power product insights.
Collaborate with cross-functional teams to identify and solve complex product and data challenges
Lead technical initiatives that improve our existing product such as A/B testing, and broader decision-making and insights capabilities.
Canva is a company redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide and empowers you and your team to do your best work.
Own the end-to-end architecture and technical development of the Graph AI platform.
Improve and scale the private relationship graph, including matching, pathfinding, performance, and privacy.
Design and implement AI-powered relationship scoring and recommendation systems.
Pragmatike is recruiting for an early-stage startup building an AI-powered relationship intelligence and fundraising platform connecting funds, investors, and networks through a private relationship graph. The team is product-driven, fast-moving, and focused on building a scalable AI-native platform from the ground up.
Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production.
Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the "lab" to the "real-world", building the high-performance pipelines required to scale them.
Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making.
True Accord, a wholly owned subsidiary of TrueML, combines machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. We are a dynamic group of people who are subject matter experts with a passion for change.
Architect, design, and evolve backend systems, platform services, and APIs using Python and related technologies.
Partner closely with data scientists and machine learning engineers to productionize AI/ML capabilities and integrate models into reliable backend infrastructure.
Design and scale distributed systems that process large volumes of data with strong performance, availability, and operational excellence.
Webflow is building the world’s leading AI-native Digital Experience Platform as a remote-first company. They empower teams to design, launch, and optimize for the web without barriers, from entrepreneurs to global enterprises.
Build and improve the core RL training infrastructure and platform to accelerate research velocity.
Identify and remove bottlenecks across the RL stack by debugging, profiling, and rearchitecting systems for performance and reliability.
Partner closely with researchers and adjacent engineering teams to understand pain points and ship tooling that enhances productivity.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. We are a quickly growing, cohesive team of researchers, engineers, policy experts, and business leaders focused on high-impact, big science AI research.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
Work with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform.
Translate requirements into a technical approach, design, scoping estimate, and execution plan.
Lead execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges. Founded by data scientists and engineers, they set out to make the journey from deployment to ongoing optimization simple and effective.
Design and maintain robust ML deployment pipelines to ensure seamless model delivery.
Automate model training, deployment, and monitoring workflows to increase operational efficiency.
Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments.
Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. With over 600+ highly skilled tech professionals based in Latin America, they drive digital disruption by partnering with U.S. companies on their most impactful projects.
Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
Design, develop, and optimize ML models and AI systems for document processing and automation.
Build and maintain production ML pipelines that are robust, observable, and scalable.
Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.
Bring deep expertise in machine learning and applied AI to turn emerging techniques into practical solutions.
Provide broad technical leadership across teams while remaining hands-on in applied research and innovation.
Guide major technical decisions, identify opportunities for differentiation, and translate new ideas into future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration that powers complex global supply chains and supports the people who manage them. They have grown to become a global organization with over 2000 employees around the world, with 6 global offices and a best-in-class HQ in Ottawa, Canada.
Set the technical and modeling strategy for fraud detection.
Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models.
Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with offices and a culture that values its employees.
Translate high-level business problems into functional AI solutions.
Design, build, and maintain backend services and APIs that deploy AI features.
Implement scalable backend architecture supporting AI workflows and data pipelines.
Forward Financing is a financial technology company based in Boston, Massachusetts. They aim to unlock the capital for small businesses across America and are recognized as a Best Place to Work by Built In Boston. The company is focused on employee investment and long-term success.
Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems.
Design, develop and maintain learning and non-learning systems.
Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company.
CD PROJEKT RED's mission is to create revolutionary, story-driven RPGs which go straight to the hearts of gamers. They share behind-the-scenes insights and stories direct from our team members on their social media, YouTube channel, and Beyond the Game Blog.