Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
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.
Drive GenAI-powered recommendations leveraging Reddit's unique community landscape and conversational data.
Set technical direction for relevance and feeds teams, influencing strategy across multiple orgs.
Mentor and grow senior and staff engineers while fostering a strong engineering culture.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open conversations. With 100,000+ communities and 130 million daily active users, it is one of the internet's largest information sources.
Design, develop, and deploy models and systems that generate and edit designs, working closely with cross-functional teams to ship features that feel effortless to use.
Stay close to the latest deep learning and generative AI research, turning promising techniques into shipped production features.
Build and maintain the infrastructure and pipelines that get generation models into production at scale.
Canva is a graphic design platform that empowers users to create designs easily. With thousands of employees globally, Canva fosters a culture of creativity, inclusion, and flexibility.
Drive search retrieval and ranking improvements to help designers find materials faster and discover new ones.
Build recommendation systems from the ground up, modeling member intent and catalog dynamics.
Conduct exploratory data analysis to inform strategy, design experiments, and measure success.
Material Bank is the world's largest material marketplace for the architecture and design industry, operating in 37 countries. The company fosters a growth-driven culture with small empowered teams that value efficiency and rapid execution.
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.
Architect and lead the development of next-generation, large-scale machine learning techniques.
Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.
Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.
Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design, train, and improve large-scale machine learning models for recommendation and personalization, leveraging modern deep learning architectures.
Own end-to-end delivery of major ML system components, from problem framing to production rollout, with cross-functional partners.
Optimize distributed training, model efficiency, and online inference performance while ensuring low-latency, high-throughput production systems.
Reddit is a community of communities built on shared interests, passion, and trust, hosting authentic conversations. With over 100,000 active communities and about 130 million daily active users, Reddit is one of the internet's largest sources of information.
Help define and drive the ML engineering strategy for Discovery Mode and related royalty programs.
Design, build, evaluate, ship, and refine production ML systems through hands-on development.
Provide technical leadership across complex ML initiatives and collaborate with cross-functional teams.
Spotify is the world's most popular audio streaming subscription service, focused on unlocking human creativity. With a strong emphasis on inclusivity and innovation, the company employs thousands worldwide and values diverse perspectives.
Develop, optimize, and maintain production-grade systems supporting agentic search and AI-powered retrieval.
Own and improve search relevance and retrieval components for systems serving real users.
Collaborate with AI research teams to measure model improvements and translate research into production capabilities.
The company is a technology firm building next-generation agentic search and AI-powered retrieval systems. It offers a remote, asynchronous work environment with a focus on engineering excellence and collaboration with AI research teams.
Provide technical leadership and mentorship to MLEs, driving strategy, designs, and best practices in analysis, modeling, and engineering.
Develop new or iterate on existing embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
Ensure reliability, scalability, and performance of ML systems through automated tests, monitoring, and best practices for model management.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information, operating with a flexible first workforce.
Architect and maintain end-to-end traffic classification ML systems
Build rigorous evaluation frameworks to ensure model improvements are measurable
Partner with security and data engineering teams to integrate scoring intelligence
Airbnb is an online marketplace that connects hosts with guests, offering unique stays and experiences. Founded in 2007, the company has grown to over 5 million hosts and 2 billion guest arrivals, with a culture committed to inclusion and belonging.
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.
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development and training iteration.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, and quality.
Build platform abstractions and workflow automation to make ML development faster, safer, and more self-service.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and has a culture of openness and authenticity.
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.
Own the ML/AI platform, including training infrastructure, model serving, inference pipelines, and production integrations.
Set technical direction for ML/AI architecture, tooling, standards, and strategy in partnership with data science and engineering.
Drive GenAI and LLM engineering, including RAG, prompt engineering, fine-tuning, and agentic workflows.
This company builds AI/ML infrastructure for financial technology products used by over 1,600 financial institutions. It operates as a globally distributed team with a focus on innovation and collaboration.
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.
Design and implement end-to-end document intelligence pipelines on AWS, including ML model development for document classification and field extraction.
Build scalable data processing systems handling PDFs up to 2000 pages, and own features from research through production deployment and monitoring.
Collaborate with subject matter experts to refine requirements, establish evaluation frameworks, and ensure extraction accuracy.
Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients including HBO, Microsoft, Google, and Starbucks. Our culture is defined by ambitious, collaborative, and constantly evolving people who lead with trust, respect, and purpose.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Build and scale ML infrastructure and tools to support AI-driven genetic medicine research.
Partner with scientists and engineers to translate research prototypes into robust systems.
Optimize model training and inference performance using advanced computing frameworks.
Dyno Therapeutics is building high-performance genetic technologies to transform patient lives. Their team unites world-class experts at the intersection of AI and genetic medicine.