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.
Define the technical roadmap for Growth and Engagement ML systems, ensuring scalability and business impact.
Architect and deploy production-grade ML pipelines and real-time decisioning systems for personalization and onboarding.
Mentor senior engineers and collaborate with Product, Data Science, and Marketing leadership to drive core metrics.
Phantom is on a mission to connect the world to the freedom of open markets, providing access to global markets that never close. With around 180 fully remote employees and backed by a $150M Series C investment from a16z, Sequoia Capital, and Paradigm, we foster a culture of innovation and inclusivity.
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 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.
Develop advanced ML models and agentic workflows to accelerate model development.
Use AI-assisted tools like Claude and Cursor to investigate model behavior and automate analysis.
Set technical direction, mentor engineers, and raise the bar for modeling rigor.
Reddit is a community of communities, built on shared interests, passion, and trust, and is 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.
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.
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.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Define technical direction and multi-year roadmap for ads retrieval modeling.
Design, develop, and launch candidate-generation and retrieval models for campaigns and ads.
Apply modern approaches like two-tower architectures, representation learning, and deep learning techniques.
Reddit is a community of communities, built on shared interests, passion, and trust, and is 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.
Collaborate with Data Science teams to deploy and maintain machine learning models in production environments.
Build robust data processing pipelines and implement MLOps and LLMOps best practices for scalable AI solutions.
Work with cloud technologies, big data platforms, and machine learning frameworks to deliver innovative technical solutions.
The company specializes in data and technology services, helping transform machine learning solutions into production-ready systems. It is an established international organization with a collaborative, inclusive culture and a strong emphasis on continuous learning and career growth.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
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.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Design and build systems that improve the efficiency of ML training and inference workloads.
Develop tooling and benchmarking frameworks to help ML engineers debug, profile, optimize, and monitor model performance.
Partner with ML teams to optimize distributed training, reduce costs, and drive technical strategy for scalability and reliability.
Reddit is a community of communities where users share interests and authentic conversations. With 100,000+ communities and ~130 million daily visitors, it has a flexible-first culture supporting remote work.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Design and maintain the MLOps platform for experiment tracking, model registry, and CI/CD practices.\n- Productionize ML models into scalable, low-latency serving infrastructure with monitoring and rollback.\n- Automate retraining, evaluation, and deployment pipelines to reduce manual intervention.
Yuno builds payment infrastructure that connects companies to over 300 payment methods worldwide via a single API, using AI for intelligent routing and fraud prevention. It is a growing company with a global reach, founded by veterans from payments and technology, and emphasizes innovation and remote collaboration.
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 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.