Build, evaluate, and maintain underwriting and decisioning models that determine customer approvals and terms.
Design and run experiments to evaluate model performance and measure impact on approval rates and loss.
Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure systems reflect business goals and regulatory expectations.
FloatMe is a fintech company that builds underwriting and decisioning systems to determine customer approvals and terms. It operates as a fast-moving, high-standard team focused on rigorous ML work.
Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
Conduct rigorous, independent validations of sophisticated credit/fraud models, including machine learning and traditional statistical models.
Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability, and feature importance shifts in real-time.
Partner with model developers to drive remediation of validation findings and ensure models are mathematically robust and compliant.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is a remote-first firm with a focus on competitive benefits and an inclusive culture.
Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
Design and maintain ML model productionization infrastructure for high-visibility product features.
Collaborate with data science to streamline model training, validation, and deployment.
Implement robust monitoring and alerting for model performance, drift, and data quality.
The Athletic is a sports media company powered by one of the largest global newsrooms in sports, delivering in-depth coverage of professional and college teams across North America and Europe. With over 500 full-time staff, they foster a collaborative culture focused on high-quality journalism and data-driven innovation.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.
Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.
Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
The company develops intelligent automation solutions using AI and machine learning for large-scale document processing. It offers a highly autonomous engineering environment with a focus on continuous improvement and innovation.
Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.
Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.
Build ML models for production use and perform in-depth exploratory data analysis to scope opportunities.
Suggest and implement new features to improve model performance and business logic.
Translate client business problems into ML problems and build scalable models for claim time series forecasting and NLP.
EvolutionIQ delivers state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. The company is experiencing massive growth and has been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026.
You will experiment with emerging technologies and contribute to building new models and systems.
You will implement prototypes in Python and focus on delivering solutions to production.
You will partner with the platform engineering team to streamline MLOps workflows and maintain high code quality.
Verve creates a more efficient and privacy-focused way to buy and monetize advertising by fusing data, media, and technology. With 30 offices globally, they serve top advertisers and publishers and foster a collaborative, fun culture.
Build integrations with healthcare and financial systems
Automate end-to-end data ingestion and delivery pipelines
Design high-throughput, low-latency systems where performance is a mission-critical requirement
Anomaly uses AI and healthcare transaction data to decode complex payer behavior and close the knowledge gap between providers and payers. Founded in 2020, it is a small, remote-friendly team with a hacker mindset.
Develop end-to-end data processing pipelines for display characterization and machine learning algorithms for visual artifact detection.
Design and implement anomaly detection models and automated analysis tools for display performance.
Collaborate with cross-functional hardware teams and maintain data infrastructure for ML workflows.
itD is a consulting and software development company that blends diversity, innovation, and integrity. It is a woman- and minority-led firm with a flat structure and a focus on delivering excellent results.
Design and ship AI sub-agents that act across the customer lifecycle, combining predictive models and LLM reasoning.
Build predictive and prescriptive models for churn risk, growth, adoption, and account health scoring.
Partner with Product, Engineering, and Applied AI teams from problem framing through production deployment.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter, now uniting human teams with AI agents. With over 20 years of experience, they foster a culture of innovation and collaboration.
Partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform.
Own the journey from initial exploration to production deployment, translating ambiguous goals into reliable services.
Work across product, software development, performance engineering, and customer-facing implementations.
Baseten powers mission-critical inference for dynamic AI companies like Cursor and Notion. They are rapidly growing, recently raised a $1.5B Series F, and foster a collaborative, forward-thinking culture.
Lead the ML strategy and architecture for Shopping Ads delivery across targeting, retrieval, ranking, conversion, and value optimization.
Own end-to-end model development from opportunity sizing to monitoring and iteration.
Drive complex initiatives requiring coordinated changes across multiple teams.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and 130 million daily active users, it is one of the internet's largest information sources.
Design, develop, and deploy machine learning and statistical models for forecasting and risk assessment.
Use experimentation and statistical methods to test product changes and improve customer experience.
Analyze large datasets to identify signals, engineer features, and inform model design.
Pipe is a financial technology company that provides a platform for businesses to access capital. It is a fully remote company with a culture of authenticity, humility, and excellence.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Drive end-to-end ML systems for forecasting products, from scoping and feature engineering to deployment and monitoring.
Build AI-assisted development workflows using tools like Claude Code to automate tasks with quality gates.
Partner with cross-functional teams to translate business needs into technical roadmaps and measurable impact.
Penguin Random House is the world's leading trade publishing company, with nearly 300 imprints and brands. We are a diverse international community of nearly 300 publishing brands committed to quality and innovation.
Build and maintain production ML pipelines for feature generation, model training, and monitoring using Python, PySpark, and Databricks.
Develop and integrate optimization logic for next-best-action selection and resource allocation in decisioning platforms.
Collaborate with engineering teams to support CI/CD, model versioning, and compliance in a regulated healthcare environment.
Humana is a leading U.S. healthcare company providing insurance and healthcare services to help people achieve their best health. With a large workforce, Humana is an equal opportunity employer that fosters a caring community culture.