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.
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, 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.
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.
Evolve the Interactive Learning Plugin's recommendation system with increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations.
Develop, validate, version, monitor, and iterate on applied models used by the recommendation system, owning model training and serving.
Partner across disciplines with software engineers, data analysts, and product analytics teams to productionize models and define metrics, instrumentation, and experiment analysis.
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.
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 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.
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.
Own a multimodal ML work-stream from problem definition through deployment, translating clinical needs into clear ML objectives and building systems with transformers, self-supervised learning, and segmentation.
Design rigorous evaluations beyond offline metrics, partner with engineering to productionize models, and investigate failure modes like laterality errors and hallucination.
Communicate research findings clearly, mentor less experienced researchers, and contribute to the research roadmap by identifying promising approaches.
Rad AI is an AI-driven healthcare company revolutionizing radiology by saving time, reducing burnout, and improving patient care. With over $140M in funding, a valuation of $528M, and partnerships with thousands of radiologists, Rad AI is a fast-growing team of mission-driven innovators.
Own the applied AI and ML solutions that power patient-provider matching, clinical workflows, and patient engagement.
Develop production-grade AI systems including recommendation engines, search ranking, and NLP applications.
Set technical direction for AI infrastructure and ensure responsible, safe AI in a high-stakes healthcare environment.
Rula is a mental health company dedicated to providing quality, evidence-based, and compassionate care to empower individuals to take charge of their mental health. It is a remote-first company with a culture of inclusion and diversity, hiring in most US states.
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.
Optimize and validate targeting mechanisms for specific health conditions using classic ML.
Improve proprietary contextualization and recommendation engines handling trillions of transactions monthly.
Collaborate with internal health experts to prototype ideas for commercialization.
PulsePoint sits at the intersection of healthcare and adtech, helping brands and agencies interpret health signals by unifying digital determinants of health with real-world data. With over 300 employees and growing, they are a post-acquisition business and a leading player in the US healthcare ad market.
Develop models to optimize marketing spend allocation, channel mix, and budget pacing.
Design decision systems that turn data into repeatable, actionable recommendations.
Lead experimentation and causal measurement to improve marketing investment decisions.
Oura empowers people to own their inner potential through award-winning products that provide insights into readiness, activity, and sleep quality. As a fast-growing company focused on health, we support our team with resources to do their best work.
Own the ML strategy for dialogue systems, lead a team of 3 ML engineers, and drive LLM post-training and model adaptation.
Build evaluation layers, cut dialogue failure modes, and keep inference efficient on latency and cost.
Stay hands-on with prototypes, debugging agent traces, and reviewing team work.
Social Discovery Group (SDG) is a group of social discovery companies that solve problems of loneliness and isolation through social entertainment platforms. The company has an international team of digital nomads and has been recognized as a Great Place to Work winner and a top company for remote jobs.
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.
Own a major subsystem of a novel exploitability engine end-to-end, including design, delivery, and quality.
Drive design and code reviews, raise the engineering bar, and mentor engineers through influence.
Partner with product, security R&D, and SecOps to turn customer problems into subsystem design.
ServiceNow provides an AI platform that automates workflows to free people from busywork, serving as the AI control tower for business reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Design and build scalable inference pipelines running on large GPU clusters for synthetic data generation.
Conduct data ablations and experiments to enhance model performance and data quality.
Research and implement innovative synthetic data curation methods using Cohere's infrastructure.
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprises. They are a global team of researchers, engineers, and designers with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Design, develop, train, and evaluate machine learning models for interpreting complete CT studies.
Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
Develop vision-language models connecting medical images with radiologist terminology and reporting patterns.
Our partner is a research-driven team building next-generation AI models to understand complete CT studies. They work with a dataset of approximately 10 million patients and collaborate with fellowship-trained radiologists across multiple specialties.
Build the foundations of the EdgeRunner Research organization, including data pipelines, model evaluation, and efficient parallelization.
Own codebases in areas like distributed training, quantization, compression, or compute cluster management.
Collaborate with a team of self-starters who operate independently and translate business objectives into technical solutions.
EdgeRunner AI builds state-of-the-art AI models for the tactical edge, enabling warfighters to make faster decisions and interact with robotic platforms. As a Series-A startup, we move quickly, fostering a culture of initiative, ownership, and comfort with ambiguity.
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.