Design and build systems that generate synthetic environments for agent training and evaluation.
Build and maintain synthesis models for realistic replacement values at scale.
Build evaluation infrastructure that grades agent outcomes and discriminates between frontier models.
Tonic builds the data infrastructure behind modern AI, generating synthetic environments for agent training and de-identifying enterprise data. Eight years in, the company works with frontier AI labs and hundreds of enterprises, with a culture focused on solving hard data problems and shipping.
Own ML projects end-to-end from exploration to production deployment.
Build agentic LLM systems with multi-step workflows and tool use.
Treat evaluation as core engineering work with robust testing pipelines.
We are building AI to heal billions and unlock humanity's full potential, pioneering a new approach to healthcare. With over 1 million members, 15 million AI sessions, and $500 million raised, we are defining a new standard for healthcare.
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.
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.
Designs, builds, and validates advanced analytics to turn pharmacy, claims, clinical, and member data into decisions.
Applies AI/NLP to analyze unstructured clinical and member text and automate clinical workflows.
Builds probabilistic matching logic for member identity resolution and produces clinical and pharmacy analytics.
AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. The company fosters a culture where people thrive, offering competitive compensation and benefits.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
Build a cloud-native big data platform handling audience data for millions of attendees and billions of interactions.
Design and own ML infrastructure including feature stores, training pipelines, and model serving.
Own the full data pipeline from ingestion to business impact, ensuring reliability and performance.
Hive is a marketing platform that helps event marketers personalize and automate campaigns to sell out shows and engage fans. The company is a fully remote team located across Canada, fostering a work environment with strong work-life balance and a focus on impactful outcomes.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
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.
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.
Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy and safety in healthcare workflows.
Build tool-calling and MCP architectures enabling AI agents to interact securely with EHRs, data warehouses, and operational tools.
Execute end-to-end deployments including infrastructure setup, integration testing, and production monitoring to ensure reliable go-lives.
Hippocratic AI is building the world's first healthcare-only, safety-focused LLM to transform patient outcomes at a global scale. Backed by over $400M in funding and a team from leading institutions like Stanford and Google, the company is on a mission to reinvent healthcare with safe AI.
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.
Design and evaluate AI/ML solution approaches tailored to VA healthcare operations, assessing technical feasibility and mission alignment.
Conduct rigorous assessments of AI/ML models for accuracy, bias, fairness, and explainability in clinical contexts.
Support development of AI governance frameworks and policies consistent with federal regulations and VA guidance.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company has over 300 employees nationwide and focuses on technology, creativity, and human-centered services.
Lead and grow a team of machine learning engineers, guiding career development, managing conflicts, and nurturing a positive work environment.
Run a portfolio of experiments, balancing near-term improvements with longer-horizon innovation bets, and make decisions on hypothesis resourcing.
Partner with Risk stakeholders to set direction from data, own delivery cadence, and represent team results to engineering leadership and the wider company.
Signifyd helps merchants grow their businesses by building trusted customer relationships through advanced technology that eliminates fraud and creates frictionless shopping experiences. The company is trusted by thousands of leading merchants across more than 100 countries, securely processing billions of transactions annually, and fosters a culture of commitment, empathy, and creativity.
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Lime is the largest global shared micromobility business, on a mission to build a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership.
Fine-tune and optimize Large Language Models for healthcare and life science applications.
Develop and enhance RAG pipelines to improve AI-powered information retrieval.
Collaborate with cross-functional teams to deploy deep learning solutions for complex healthcare challenges.
The company develops AI-powered healthcare solutions using Large Language Models. They foster a highly collaborative and innovation-driven environment with a diverse international team.
Design and implement AI solutions using advanced LLM techniques like RAG, tool calling, and LLM-as-judge for healthcare challenges.
Build production Python code with LangChain and LangSmith to create reliable AI systems for customer environments.
Manage secure deployments, monitor systems, respond to incidents, and drive operational improvements for AI agents.
Hippocratic AI develops AI-powered conversational agents for healthcare, focusing on safe and reliable deployments. Backed by $404M from top-tier investors, the company employs world-class AI engineers and clinical experts from leading institutions.
Develop and deploy advanced ML models for illness detection using time-series analysis from wearable health data.
Drive commercialization of algorithms in collaboration with cross-functional teams including scientists, product managers, and engineers.
Independently conduct exploratory research to identify novel health sensing features, scoping projects from concept to scalable products.
Oura empowers individuals to own their inner potential through their award-winning Oura Ring and app, providing insights on sleep, activity, and readiness to over 2.5 million users. They foster a supportive, inclusive culture with core values guiding their team, and have offices in San Francisco and San Diego.
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, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.