Build and improve pipelines that parse clinical documents into validated, executable modules.
Run experiments across open and closed models, fine-tuning, and constrained decoding methods.
Work with clinicians to evaluate outputs and turn model failures into system improvements.
They build a compiler that converts clinical standards into verified, traceable decision logic for patient care. This healthtech team combines frontier model research with production engineering to improve clinical decision support.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Run experiments that improve classification accuracy and ship winners to production.
Design and iterate on classifiers using prompting, retrieval, fine-tuning, and multi-model approaches.
Build evaluation sets and metrics; collaborate with clinical ops and legal teams.
Truemed enables health and wellness merchants to accept HSA/FSA funds by determining product eligibility for pretax spending. We are a Series A startup supporting brands like Peloton, focused on helping people invest in healthy habits.
Own machine learning strategy and execution, including MLOps, infrastructure, and predictive modeling.
Build analytics data models in DBT and analyze clinical and operational data to drive outcomes.
Collaborate with clinical, operations, product, finance, and tech leadership to scale data science.
Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs. The company is a fast-growing, startup-minded network backed by leading healthcare investors, committed to keeping independent medicine strong.
Design, deploy, and optimize large-scale ML systems for retrieval, ranking, and LLM-powered features.
Lead ML projects from concept to production, improving answer relevance and user experience.
Collaborate with Product, Data Science, and Engineering teams to shape technical direction.
The hiring partner is a technology company focused on building advanced AI systems that help users discover relevant answers from large collections of online conversations. It values innovation, collaboration, and responsible AI development, offering a remote work environment within the United States.
Build reusable dbt models and BigQuery datasets that represent core business concepts with clear grain, keys, and historical behavior.
Develop shared LookML views and self-service analytics to keep business logic consistent across dbt and Looker.
Own data correctness through automated tests, investigate discrepancies, and deliver modernization into production.
Virta Health is transforming metabolic health care by helping people reverse type 2 diabetes and obesity through virtual care, personalized nutrition, and technology. The company has raised over $350 million from top-tier investors and partners with major health plans and employers, fostering a values-driven, remote-first culture.
Develop and commercialize advanced machine learning models for Women's Health features, focusing on time-series analysis and robust validation.
Lead complex projects and collaborate with cross-functional teams including scientists, product managers, and engineers.
Design rigorous statistical analyses for model performance and conduct exploratory research to translate ideas into scalable products.
Oura is a health technology company that creates the Oura Ring and connected app to help people gain deeper knowledge of their readiness, activity, and sleep quality. It is a quickly growing company focused on improving employee health and empowering its team to live healthier lives.
Design multi-step LLM systems for reasoning, retrieval, planning, and tool use.
Own evaluation from offline benchmarks to online experiments and model-graded review.
Set quality, latency, and cost targets, and mentor senior engineers.
They build enterprise AI systems, specifically agent systems for large customers. As a late-stage, venture-backed company, they focus on shipping reliable AI to enterprise clients.
Lead end-to-end delivery of complex healthcare AI products, including agentic workflows, RAG systems, and production services.
Collaborate with Product, Engineering, Data, and clinical teams to translate stakeholder needs into validated, access-aware AI workflows.
Own evaluation frameworks, model optimization, and human-review controls to keep high-stakes workflows safe, reliable, and governable.
NeueHealth is a value-driven healthcare company that aligns the interests of health consumers, providers, and payors to make healthcare accessible and affordable. They deliver clinical care through owned clinics and provider partnerships while enabling performance-based care with technology and services.
Own, debug, and improve production ML pipelines for accuracy and efficiency.
Design LLM evals, LLM-as-a-judge systems, datasets, and benchmarks to monitor quality.
Run experiments on prompts, models, and pipeline designs to drive improvements into production.
Mimica is an AI-powered process intelligence platform that helps enterprises reclaim time by analyzing workflows and generating AI agents to automate tasks. Backed by $26M in Series B funding and trusted by Fortune 500 companies, the remote-first team spans 16+ countries and values high ownership and transparent communication.
Own the AI that assesses patients for US mental healthcare, from conversation to treatment recommendation.
Build evaluation harnesses and simulated patient conversations to test every configuration before deployment.
Raise the engineering bar through architecture, code review, and mentorship while ensuring regulatory compliance.
Limbic develops AI mental health chatbots for patient assessment and therapy, with clinical validation and FDA/NHS adoption. The company has supported over 820,000 patients and emphasizes safety, science, and an inclusive culture.
Develop, deploy, and maintain predictive models for LTV, churn, and retention across mobile and web products.
Own the modeling roadmap from problem framing to production, including segmentation, propensity models, and experimentation.
Apply LLMs and machine learning to classify behavioral signals and build AI-powered analytics tools.
GoFasti is a Talent-as-a-Service company bridging world-class LatAm developers and designers with global companies. It values remote work, continuous learning, and strong communication in its talent.
Build production pipelines that parse clinical standards into executable modules using document and layout models.
Run structured experiments comparing open and closed models, fine-tuning, and constrained decoding for guideline logic.
Create deterministic validators and benchmarks to surface ambiguity, contradictions, and missing evidence in clinical outputs.
They build a production compiler that turns clinical standards into verified, traceable decision artifacts for healthcare. The team is research-focused and collaborative, with clinicians and technical leadership working closely; company size is not disclosed.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments.
Architect end-to-end ML solutions from data ingestion to deployment and monitoring, managing containerized workloads with Docker and Kubernetes.
Oversee large-scale data pipelines, drive model improvement, and provide technical leadership across ML initiatives.
Coforge is a global IT services company that delivers digital transformation and technology solutions. It focuses on hiring based on skills and qualifications, promoting an inclusive work culture.
Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
WorkWave provides AI-driven operational intelligence products that help businesses make better decisions and run their operations more efficiently. We foster a flexible, collaborative, and impact-driven culture focused on trust, inclusion, and delivering measurable customer outcomes.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Architect automated ML systems and establish core infrastructure.
Translate ambiguous business needs into concrete technical roadmaps.
Drive end-to-end deployment of ML products with measurable business impact.
Hims & Hers is a leading health and wellness platform providing personalized care from diagnosis to treatment. The company is publicly traded on NYSE and fosters a flexible, remote-first culture with a focus on innovation and employee well-being.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Build and improve pipelines for parsing clinical documents and transforming guideline content into executable modules.
Evaluate open and closed models, fine-tuning approaches, and constrained decoding strategies for clinical fidelity.
Develop deterministic validators and benchmarks to assess correctness and expose ambiguities in clinical logic.
They build a production compiler that turns clinical standards into structured, executable decision logic. The team is research-focused and collaborative, working across engineering and clinical disciplines.