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, 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.
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.
Write production Python that powers real-time bidding, model training, and campaign optimization
Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.
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.
Lead the complete lifecycle of features for ads lift measurement products.
Rigorously evaluate campaign performance by expanding core products.
Build automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
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.
Design and manage search recommendation services and models to support the content team.
Utilize machine learning-based personalization methods to enhance content matching and distribution efficiency.
Lead the development of core content recommendation modules using data-driven strategies.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. They are trusted by 300+ million people in 100+ countries for their industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products.
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.
Architect, implement, and maintain production-grade, low-latency ML services.
Collaborate with data scientists, product managers, and engineers.
Design and support experimentation frameworks to test hypotheses and measure improvements.
Smart Working connects skilled professionals with global teams and products for full-time, long-term roles. They are one of the highest-rated workplaces on Glassdoor and value integrity, excellence, and ambition for their employees' personal and professional growth.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Work with the team to select, scope, and drive high-velocity experiments and features that directly impact advertiser retention and revenue.
Define the technical roadmap for full campaign lifecycle support, designing systems that can intelligently guide advertisers through optimization, reporting, and reactivation.
Maintain a hands-on focus, executing on strategies to create world-class experiences for SMBs.
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.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
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.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.