Improve existing machine learning ranking models using core coding skills and ML knowledge.
Take end-to-end ownership of machine learning systems from data pipelines to production integration.
Identify new opportunities to apply machine learning to different parts of the Quora product.
Quora is a global knowledge sharing platform and Poe, a cloud workspace for AI agents. It is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.
Set the technical direction for Quora's home feed recommendation systems and lead high-impact projects across the recommender stack.
Drive measurable improvements in user engagement and content quality through well-designed online experiments and end-to-end ML system ownership.
Partner with product, data science, and infrastructure teams, while mentoring engineers and raising the bar for modeling rigor and AI-assisted development.
Quora is a privately held company on a mission to grow the world's collective intelligence, operating a global knowledge sharing platform and Poe, a workspace for running multiple AI agents. It has a remote-first culture rooted in transparency, idea-sharing, and experimentation, with passionate, collaborative global teams.
Architect, implement, and maintain foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, and Ads.
Create ML data-governance tools that help MLEs discover and reason about signals.
Drive complex projects end to end from technical planning through implementation, testing, rollout, and ongoing operation.
Reddit is a community of communities hosting authentic conversations on shared interests. With 100,000+ active communities and about 130 million daily active visitors, it is a top internet information source.
Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.
Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking.
Develop and optimize features including embeddings, contextual signals, and cross-session behavior.
Mentor other MLEs and contribute to modeling best practices across the organization.
Reddit is a community of communities built on shared interests, passion, and trust. With over 100,000 active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and employs a flexible first workforce.
Design production search, ranking, and recommendation systems.
Build ML models end-to-end, from feature engineering to monitoring.
Develop LLM-powered conversational search and image-based matching with RAG.
They operate a global digital marketplace for product discovery and evaluation, powered by advanced search and AI. They support a small, high-ownership engineering team with a remote-first culture and significant autonomy.
Design and manage search recommendation services and models to empower content ecosystem development.
Utilize machine learning-based personalization methods to enhance content matching and distribution efficiency.
Collaborate with content, business, and product teams to identify needs and define success metrics.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, the company fosters a user-centric, flat-structure culture with a focus on innovation and collaboration.
Build cutting-edge personalization technology using deep learning and machine learning.
Partner across teams to improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
Use data-driven methods and LLMs to enhance content understanding and candidate retrieval.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. Its culture emphasizes inclusion, flexibility, and innovation, and it values bringing everyone the inspiration to create a life they love.
Build and operate real search infrastructure for ranking and multi-modal search across Nivoda's marketplace.
Own the full lifecycle of ranking and recommendation models, from features and training through deployment and monitoring.
Build context-aware and conversational search using LLMs, embedding-based retrieval, and image embeddings.
Nivoda is the operating system for the global jewellery industry, connecting diamond and gemstone suppliers directly with retailers across more than 70 countries. We're a small, high-ownership team with a remote-first culture, powering over $300M in annual transactions.
Lead technical design and architecture for Medium's ML recommendation backend.
Build and scale feature store, recommender systems, and ML Ops.
Mentor engineers and drive cross-functional technical direction.
Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Build cutting-edge deep learning and machine learning models to personalize the Pinterest experience.
Partner with cross-functional teams to improve ML models for products like Homefeed, Ads, and Search.
Use data-driven methods to enhance candidate retrieval and stay current with trends in recommendation systems.
Pinterest is a visual discovery platform where millions find inspiration to create a life they love. It is a large, publicly traded technology company with a culture of innovation, inclusion, and flexibility.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.
Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.
Set the scientific direction for high-impact consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
Build durable models and frameworks that represent users, content, communities, and their relationships over time for systems operating at scale.
Drive experimentation strategy and measurement systems to distinguish durable improvement from temporary metric movement.
Reddit is a community of communities, built on shared interests, passion, and trust, and home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information, fostering a culture of transparency and user-driven growth.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Drive development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable forecasting models, including deep-learning-based approaches, to predict company top-line metrics.
Lead the end-to-end ML lifecycle from problem definition through deployment and iteration.
Atlassian builds software products that help teams all over the planet collaborate and work together. With a distributed-first culture, Atlassians have flexibility in where they work, and the company is motivated by unleashing the potential of every team.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.