Design, build, and operate large-scale ML solutions for ad delivery performance.
Collaborate with cross-functional teams to deploy models into production.
Mentor peers and contribute to ML best practices and AI-native development.
The company is a technology firm focused on AI-driven advertising solutions. It operates in a remote-first environment with a collaborative and inclusive culture.
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.
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.
Build and improve production recommendation and ranking systems for eCommerce.
Develop personalization models across the customer journey, from candidate generation to ranking.
Design and run experiments, A/B tests, and scalable ML services.
Sweed builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With over 200 team members, we're a remote-first, product-driven startup focused on simplicity, efficiency, and innovation.
Define the multi-quarter vision and strategy across Machine Learning & Recall and Query teams.
Drive query intelligence and advance recall systems to improve search-attributed conversion and revenue.
Build evaluation frameworks and optimize ML performance trade-offs for low-latency production.
Constructor provides product search and discovery solutions for large retailers, serving billions of requests weekly. The company is a remote-first, growing team of technologists that values empathy, openness, and continuous improvement.
Define and execute a product roadmap for Search, aligned with Yelp's business objectives and industry trends.
Lead development of Search products from conception to launch, leveraging data-driven insights and algorithm optimization.
Collaborate with engineering, design, and data science to deliver exceptional products and drive consumer engagement.
Yelp is the ultimate guide to local living, connecting people with great businesses in their neighborhoods. With hundreds of millions of users and a vast business ecosystem, Yelp fosters a culture of innovation and collaboration.
Partner with product, data science, and engineering teams to design, develop, and deploy machine learning and optimization solutions for ads delivery.
Train, deploy, and scale ML models as microservices, working with infrastructure engineers to integrate model outputs into ads systems.
Establish unified logging, alerting, and monitoring for model inference, system latency, data drift, and concept drift.
Life360's mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. The company serves approximately 97.8 million monthly active users across 180+ countries and has a remote-first culture with over 500 employees.
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.
Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
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.
Lead product strategy for AI, ML, and data science platforms powering programmatic advertising solutions.
Oversee optimization, audience targeting, identity infrastructure, and data partnerships.
Drive innovation from research to scalable commercial products and mentor a high-performing PM team.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through objective skills assessment. The company operates remotely with a small team, emphasizing efficiency and data-driven recruitment.
Own the end-to-end data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time.
Deliver buying models that maintain positive ROAS and drive lead quality improvements across the portfolio.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through its brands. They are a profitable, bootstrapped company with a remote-first team across 18 countries.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
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. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Design, implement, and refine machine learning models to deliver personalized recommendations.
Lead the design of online and offline experiments to validate model performance and make data-driven decisions.
Work closely with product and engineering teams to deploy new recommendation features and drive alignment across teams.
Canva is redefining how the world experiences design by providing a platform for creating stunning visual content. With over 200 million monthly users and a culture of flexibility and innovation, the team is committed to empowering creativity and collaboration.
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.
Design and maintain ML model productionization infrastructure for high-visibility product features.
Collaborate with data science to streamline model training, validation, and deployment.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic is a sports media company powered by one of the largest global newsrooms in sports, delivering in-depth coverage of professional and college teams across North America and Europe. With over 500 full-time staff, they foster a collaborative culture focused on high-quality journalism and data-driven innovation.