Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
Analyze and interpret PB-scale transactional, operational, and customer data using proprietary and open source tools.
Translate complex findings into simple visualizations and recommendations for operational teams and executives.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 300 million users across 100+ countries, it offers a flat, results-driven culture and a fast-paced, innovative environment.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.
Design and implement mathematical models to drive key product goals, including subscription prediction and article recommendations.
Lead hands-on analysis and modeling projects, choosing the right analytical method for each problem.
Develop data science pipelines in production and guide experiments to improve the product.
The Athletic is a sports media company that delivers comprehensive coverage of professional and college teams across North America and the English Premier League. With a newsroom of 500+ full-time staff, it provides in-depth storytelling and fosters a data-driven, collaborative culture.
Research, develop, and maintain production-quality machine learning code for materials science problems.
Collaborate with product, engineering, and research teams to transform AI ideas into scalable, customer-ready capabilities.
Evaluate and improve model performance, reliability, and interpretability across the full feature lifecycle.
The company develops materials-aware AI capabilities for scientific and industrial applications. They value autonomy, collaboration, and continuous learning in a remote environment.
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.
Serve as a senior customer-facing voice for Pacvue’s AI vision, engaging with enterprise brands and translating feedback into strategy.
Lead and scale the global AI, ML, and Data Science organization, ensuring alignment and execution across AI Labs, production, and agentic workflows.
Accelerate Pacvue Agent and own AI Labs, driving rapid experimentation and turning AI capabilities into scalable product experiences.
Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks. The company powers 12% of total retail media ad spend worldwide and provides a comprehensive platform for businesses of all sizes, fostering a culture where careers are built.
Develop agentic research systems to automate mechanistic model development for biochemical and physiological processes.
Design and train machine learning models for in-context learning and few-shot adaptation on molecular and tabular data.
Collaborate with chemists and biologists to drive drug discovery decisions using AI models.
PostEra is building an AI-first biotech, using its Proton AI platform to accelerate the discovery of new medicines for patients. The company has a minimalist organizational structure, celebrating individual achievement through proportional compensation and collaboration toward delivering cures.
Analyze large, diverse datasets on business cash flow, credit, and repayment to identify product opportunities.
Partner with product and engineering to develop and commercialize data products and predictive models.
Lead Ocrolus’ analytics and data science efforts as a subject matter expert on SMB credit and mentoring.
Ocrolus is an AI platform for lenders, automating workflows with over 99% accuracy on nearly one million monthly credit applications. Trusted by 400+ customers, it is a remote-first team of builders and problem solvers.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Build and ship statistical and ML models for forecasting, retention, and risk prediction.
Design experiments and causal analyses to drive data-informed decisions.
Partner with Analytics Engineering to productionize models using BigQuery, dbt, and Dagster.
Ophelia is a venture-backed healthcare startup helping individuals with opioid use disorder access FDA-approved medication and clinical care via a discreet telehealth platform. The team of physicians, scientists, and researchers has been operating across 16 states for nearly six years, backed by leading investors.