Design, build, and operate end-to-end ML systems across batch and real-time workloads.
Develop production capabilities for personalization, recommendations, optimization, and experimentation.
Provide technical leadership for ML architecture and distributed systems.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company that values initiative, openness, and humility.
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.
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.
Develop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration.
Take end-to-end ownership of machine learning systems from data pipelines to production integration.
Evaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production constraints.
Quora operates two knowledge-sharing platforms: Quora, a global Q&A platform, and Poe, a platform for interacting with AI language models. They have a remote-first culture with passionate, collaborative, and high-performing global teams focused on transparency and experimentation.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Drive ML strategy and roadmap for recommendation and matching systems.
Architect high-scale ML systems for real-time intent prediction and candidate ranking.
Provide org-wide technical leadership and mentor ML engineers across teams.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology. The company actively connects millions of businesses and job seekers and has the #1 rated job search app on iOS & Android.
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.
Build cutting-edge technology using deep learning and machine learning to personalize Pinterest.
Partner with teams to improve ML models for product surfaces like Homefeed and Search.
Use data-driven methods to improve content recommendation and ads delivery.
Pinterest is a platform where millions of people find creative ideas and plan for memories. The company is mission-driven, focusing on innovation and inclusion, with a large and diverse user base.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Design, build, and improve machine learning training and inference pipelines for AI-driven music experiences.
Apply machine learning and prompt engineering across complex ML pipelines to support large language model features.
Create evaluation frameworks with LLM-as-judge pipelines to measure quality and enable rapid iteration.
Spotify is a digital music service that provides access to millions of songs. With over 700 million monthly active users, Spotify fosters a culture of innovation and collaboration, prioritizing artist-first principles in its AI music lab.
Design, build, and operate production-grade machine learning systems for retail media use cases.
Collaborate with product managers, engineers, and commercial stakeholders to translate business requirements into scalable ML solutions.
Develop robust ML pipelines and bring models into production using a cloud-based stack, ensuring reliability and observability.
Redcare Pharmacy is Europe's No.1 e-pharmacy, providing online pharmacy services. The company is powered by passionate teams and fosters a healthy, collaborative work environment.
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Train, fine-tune, evaluate, and optimize large language models using techniques such as SFT, distillation, and LoRA.
Spotify is a leading audio streaming platform that connects listeners with music and podcasts. The company has thousands of employees worldwide and fosters a culture of inclusivity, creativity, and forward-thinking.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.
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.
Lead the development and optimization of machine learning models to detect and prevent AI security risks like prompt injection and jailbreaks.
Build reproducible training and evaluation pipelines on Reddit's ML platform, partnering with platform engineers to improve performance and reliability.
Set the technical vision and multi-quarter modeling roadmap, mentoring engineers and establishing best practices for responsible ML development.
Reddit is a community of communities, built on shared interests and authentic conversations, with 100,000+ active communities and 130 million daily active visitors. It is one of the internet's largest sources of information, fostering a culture of openness and trust.
Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability.
Own model deployment infrastructure including registry, versioning, CI/CD, and staged rollouts.
Build model observability with availability, latency, error monitoring, and drift detection.
Mercury is a fintech company that builds banking services for startups. They are committed to diversity and inclusion, and are an equal opportunity employer.
Develop tools and automate manual processes to improve operational efficiency and accelerate experimentation.
Build, integrate, and monitor end-to-end lifecycles of large-scale distributed machine learning systems.
Enhance ML pipelines for forecasting platforms with automated retraining and deployment.
Apella applies computer vision and machine learning to improve the standard of care in surgery. They are a remote-first startup focused on building reliable ML solutions for healthcare.
Own the full data science engine for a priority vertical, from business problem to deployed model and live ROAS performance.
Focus on Insurance and Advertiser Quality, building models that maintain positive ROAS and drive lead quality.
Stay hands-on with data and modeling, partnering with ML engineering for deployment and monitoring.
Launch Potato is a discovery and conversion company turning attention into customer acquisition for finance, travel, and entertainment partners. They are a profitable, bootstrapped, remote-first team across 18 countries that measures impact, not activity.
Design and build AI agents and automation to solve real problems across engineering, product, and delivery.
Partner with stakeholders to identify high-leverage opportunities and deliver end-to-end solutions.
Stay current with LLM and agentic frameworks to drive innovation in healthcare technology.
HealtheDGE provides AI-powered operational infrastructure for health insurance companies, helping them modernize operations. The company is experiencing strong market momentum and invests in its people, offering a collaborative culture focused on innovation.