Build AI-driven healthcare solutions that remove barriers to care.
Work remotely across multiple regions with a diverse, global team.
Contribute to a platform that has completed over 10 million AI sessions and saved $1 billion in healthcare costs.
Sword is an AI healthcare company building AI to heal billions and unlock humanity's full potential. With over 700,000 members across three continents, 10 million AI sessions, and backed by $500 million from leading investors, Sword is defining a new standard for healthcare.
Drive the technical and product roadmap by contributing innovative ideas and estimating effort for high-velocity execution.
Collaborate with product managers and engineers to translate abstract business needs into scalable technical implementations.
Own end-to-end responsibility for complex initiatives, from scoping with stakeholders to production deployment and maintenance.
TrueML is a mission-driven financial software company that uses machine learning to create better digital experiences for distressed borrowers. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to ensure nobody gets locked out of the financial system.
Own the full lifecycle of ML models for credit risk decisions, from feature engineering to production and monitoring.
Design and improve approval amount sensitivity models, credit line optimization, and loss forecasting.
Partner cross-functionally with risk, engineering, finance, and sales to shape both technical infrastructure and business strategy.
Kafene is a fintech company revolutionizing lease-to-own with AI and machine learning. With over $500 million in originations, our 175-person team operates from NYC and globally, fostering a collaborative culture recognized by Built In and Forbes.
Propose and scope a new benchmark or evaluation technique in a domain APEX doesn't yet cover.
Design, build, and validate the benchmark with domain experts, including task specifications and scoring.
Run frontier models against your benchmark, analyze failures, and publish results as a paper or dataset.
Mercor organizes human intelligence to power the AI economy by building the layer between human expertise and frontier models. It is a profitable Series C company valued at $10 billion with a culture of in-person collaboration in San Francisco, NYC, or London.
Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.
Build and own data infrastructure, including pipelines, warehousing, and ETL/ELT, ensuring a solid foundation.
Analyze product usage and user behavior, identifying patterns and segmenting users to surface actionable insights.
Build and ship models using LLM-based systems, traditional ML, and evaluation frameworks, connecting data to product decisions.
G-P is a leading SaaS-based Global Employment Platform that enables clients to expand into over 180 countries quickly and efficiently. The company has a diverse, remote-first team that fosters innovation and values every contribution.
Apply data, statistical models, and machine learning to identify business opportunities and develop solutions.
Collaborate with cross-functional teams of software engineers, data analysts, and product leaders on business initiatives.
Create and maintain reports, dashboards, and presentations to communicate findings and recommendations.
Mercury Insurance helps people reduce risk and overcome unexpected events. With over 60 years in the industry, they are a midsize employer recognized as one of America's Best Midsize Employers for 2026, fostering a collaborative and inclusive culture.
Establish yourself as a trusted member of the Payments Leadership team, enabling better decisions across Payments and the wider Data Discipline.
Co-drive Payments strategy and product decisions with Product and Engineering, bringing data into discovery early to shape priorities and challenge thinking.
Develop and scale a high-performing team of data professionals, sharing accountability for product and business outcomes.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more. The company has a strong culture of data-driven decision making and a centralized data discipline, with a team of data professionals embedded in cross-functional product areas.
Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.
This company provides a critical identification platform that leverages machine learning and data science for fraud prevention. It operates with a globally distributed team and values diverse perspectives and technical excellence.
Leverage deep technical expertise to design and execute high-impact marketing analytics solutions.
Communicate complex strategic recommendations to stakeholders to drive buy-in and data-driven decisions.
Manage data ecosystems including ETL, governance, reporting, and visualization to deliver client value.
DEPT is a Growth Invention company that helps ambitious brands grow faster at the intersection of technology and marketing. With over 4,000 specialists, they foster a collaborative culture grounded in values of better together, relentlessly curious, and get sh*t done.