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.
Develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The company is a remote-first, publicly traded organization with a strong culture focused on people come first.
Build next-generation conversational AI experiences for value-based healthcare.
Develop retrieval and evaluation pipelines with senior engineers for production deployment.
Collaborate with cross-functional teams to ensure data accuracy and compliance.
Arbital Health is a healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. They are co-founded by Brian Overstreet and Travis May, backed by leading investors, and have established themselves as a trusted partner for over 40 stakeholders.
Architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows.
Own the AI stack roadmap from opportunity sizing through prototyping to deployment and impact measurement.
Translate complex technical work into clear recommendations for senior stakeholders and mentor analysts.
JumpCloud is an AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. With teams in 15+ countries, it is a fast-paced, SaaS-based environment that values innovation and collaboration.
Drive innovation across the machine learning ecosystem and architect advanced ML solutions.
Mentor junior ML engineers and lead complex ML initiatives at scale.
Own models in production including deployment, monitoring, drift detection, and retraining.
Xsolla is a global commerce company providing tools and services to help video game developers fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500 game developers grow their businesses worldwide.
Build and maintain a quality scoring classifier for support interactions using NLP and LLM-based approaches.
Enhance forecasting models for support volume and staffing demand to enable responsive operational planning.
Partner with cross-functional teams to translate business needs into scalable data solutions and drive member experience improvements.
Oura empowers people to understand and improve their health through the Oura Ring, a wearable that tracks readiness, activity, and sleep. The company has helped millions globally and fosters a culture of employee well-being and growth.
Develop and maintain analytical applications and data pipelines using Python, Streamlit, and Django.
Productionize statistical models and machine learning workflows from data scientists and statisticians.
Contribute to AI-powered features using techniques like retrieval-augmented generation and structured extraction.
CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated healthcare solutions for transplant patients and caregivers. The company offers products, testing services, and digital healthcare solutions along the pre- and post-transplant patient journey, with a strong commitment to innovation and patient impact.
Evaluate sophisticated machine learning models, traditional quantitative models, and emerging Generative AI applications.
Partner with cross-functional teams to maintain model inventories, risk assessments, and governance materials.
Translate complex technical concepts into clear insights for stakeholders and support regulatory readiness.
A growing technology-driven banking environment focused on consumer lending and financial services. The company emphasizes a remote-first culture, cross-functional collaboration, and inclusive workplace practices.
Build the data and model layer for an AI-enabled decision-support system, including ingestion, record matching, scoring, and generation.
Implement probabilistic matching, calibration, and retrieval-augmented generation in a controlled environment.
Ensure traceability, audit trails, and documentation for all data and model outputs.
DEFCON AI leverages AI, mathematical optimization, and data analytics for resilient optimization of complex systems. The team operates in a fully remote, results-based environment with a focus on innovation and collaboration.
Collaborate with cross-functional teams to enhance the Lyra platform and serve provider and client needs.
Become an expert in diverse data sources, building pipelines and applying clinical logic to raw data.
Extract actionable insights, develop predictive and generative models, and support product iterations with rigorous evaluation frameworks.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company has delivered more than 15 million sessions of mental health care and published over 35 peer-reviewed studies, with a culture focused on innovation and clinical effectiveness.
Own the full model lifecycle from requirements and feature engineering through deployment and monitoring, partnering with ML engineers.
Translate complex fraud patterns into well-framed ML solutions, defining what to model and where ML adds value.
Design feature engineering pipelines, monitor model quality in production, and collaborate across teams to drive fraud strategies.
Extend revolutionizes the post-purchase experience for retailers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. Backed by prominent technology investors and headquartered in San Francisco, Extend works with over 1,000 leading merchant partners across industries, fostering a collaborative and supportive culture.
Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy, and scikit-learn, ensuring scalability and reliability in production.
Design, implement, and continuously improve LLM-powered applications and Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, embedding strategies, and vector store integration.
Conduct exploratory data analysis and design data visualizations to uncover trends and communicate key metrics to both technical and non-technical stakeholders.
Great Gray Group is a leading independent provider of trustee and administrative services for Collective Investment Trusts, with over $370 billion in assets under management. They are a high-growth organization backed by Madison Dearborn Partners, fostering a culture of collaboration, innovation, and continuous improvement.
Turn raw operational data into products that improve customer decision-making, owning the problem from framing to delivery.
Build data pipelines and deploy models using Python, SQL, and Snowflake, ensuring models are usable, explainable, and measurable.
Partner with Product Managers and Software Engineers to embed machine learning into real product workflows.
WorkWave provides field service and logistics software solutions for businesses of all sizes. They are a global company with a remote-first culture and have been recognized as a Best Place to Work, with employees in over 30 states and 7 countries.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Build and maintain trusted product data assets using dbt, Snowflake, and modern analytics infrastructure.
Leverage AI-powered analytics tools to accelerate insight generation and automate repeatable analysis.
Partner closely with Product, Engineering, Design, and Customer Success to influence product strategy through data.
Vanta helps businesses earn and prove trust by enabling continuous security monitoring and compliance. With thousands of customers, Vanta has a kind and talented team focused on building the leading Trust Management Platform.
Own the full ML delivery lifecycle from data discovery to deployment, monitoring, and retraining.
Build forecasting and detection models robust to real-world data quality issues and defend tradeoffs.
Maintain client-facing presence and feedback loop, shipping usable capability like FastAPI, React, or scheduled jobs.
We accelerate positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. We're a fast-growing, profitable public benefit corporation founded in 2024, working with category leaders in real estate, energy, logistics, and utilities.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
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.
Lead complex product initiatives across underwriting from problem definition to launch.
Partner with clients and underwriters to shape platform capabilities and roadmap.
Leverage AI tools as a core part of product development process.
Bestow is a vertical technology platform that modernizes life insurance infrastructure, helping carriers launch products faster. Backed by Goldman Sachs and other investors, it offers a remote/hybrid culture focused on precision, purpose, and growth.