Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
Build reliable and scalable production machine learning systems
Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts.
Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually.
Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.
Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.
Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.
Develop, train, fine-tune, and deploy machine learning models.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision.
Design and develop RESTful APIs for AI model deployment using Flask or FastAPI.
Jobgether is a platform that partners with companies to connect them with talent. They use an AI-powered matching process to ensure applications are reviewed quickly and fairly.
Develop and optimize AI-driven solutions for our end-to-end platform.
Integrate AI capabilities into production systems to enhance functionality and performance.
Fine-tune and optimize existing solutions for specific product requirements, ensuring efficiency and reliability.
Smarter Technologies is an automation and insight platform for healthcare efficiency, providing an AI-powered revenue cycle management (RCM) platform. They combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services to empower healthcare organizations.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Design and build AI solutions for real-world business problems.
Own the end-to-end lifecycle of AI features.
Develop and optimize LLM-based applications.
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Turnitin partners with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries that embraces diversity, respects local cultures, and has a remote-centric culture.
Ideate, develop and productionalize AI solutions for healthcare payer use cases.
Design and implement state-of-the-art AI models and algorithms using Python and GCP Vertex AI.
Collaborate with product teams to identify opportunities for applying AI techniques to solve business challenges and automate processes.
BlueCross BlueShield of Tennessee is the largest health benefit plan company in Tennessee, helping Tennesseans find their own paths to good health since 1945. They empower their employees to thrive both independently and collaboratively, creating a collective impact on the lives of their members.
Building, testing, and shipping ML-powered features that enhance our ad generation experiences
Designing scalable ML pipelines in collaboration with our platform teams
Working closely with PMs, designers and engineers to align on user needs and product direction
Canva is a company that is redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ. You have flexibility in how and where you work.
Develop and deploy novel ML models that improve the accuracy of patient-level data linking.
Contribute key architectural improvements to the Marmot LLM infrastructure, specifically focusing on reducing manual drift.
Build API-driven reconciliation jobs and data normalization scripts to ensure a unified and consistent view across our data estate.
Komodo Health's mission is to reduce the global burden of disease. They built the Healthcare Map, the industry’s largest, most complete, precise view of the U.S. healthcare system. They are a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
Architect and scale the core intelligence behind our platform.
Design, build, and optimize the pipelines and agent systems that drive live customer interactions.
Build real-time and batch pipelines for ingestion, training, and inference.
Raynmaker is building RaynBrain, an agentic AI platform for complex conversations grounded in machine learning, neuroscience, and forensic linguistics. They empower autonomous systems that interpret, adapt, and act in real time, turning raw leads into revenue without scripts or human handoffs. Raynmaker is a small team helping other small teams move faster and convert more leads.
Take ownership of and improve the model training and deployment pipeline using DVC and GCP using our Python data science SDK.
Actively contribute to ongoing analyses, including calibrations, pilot studies, error analyses, and model performance investigations, and translate findings into concrete improvements.
Improve the standards, tooling, and monitoring needed to ensure Eli’s models are robust, traceable, and operationally trustworthy.
Eli Health is enabling continuous hormone monitoring, empowering users to support their daily and long-term health with instant results. As a small team of fewer than 25 employees, they foster a high-performing, diverse environment where individual contributions significantly impact the company's trajectory.
Support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.
Enable scalable training, evaluation, deployment, and monitoring for a wide range of ML and GenAI workloads.
Manage model upgrades, framework versions, regression testing, maintenance tasks and maintaining performance across systems and solutions.
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.
Drive alignment across teams on ML strategy, standards, and long-term technical direction.
Guide recommendations for ML infrastructure, tooling, and architecture.
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Lime is the largest global shared micromobility business. They operate in close to 30 countries across five continents with a mission to build a future where transportation is shared, affordable and carbon-free. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally.
Develop performant, scalable, and high quality APIs and backend processes for Ostro's SaaS platform, with a strong emphasis on LLM integration.
Collaborate with cross-functional teams to implement new features and refine existing ones, particularly those involving AI/LLM capabilities.
Ensure code quality and compliance through thorough reviews, unit testing, and adherence to best practices for LLM-powered applications and Ostro engineering.
Ostro is transforming how life sciences connect with the people who need their innovations most. They are a remote-first team united by curiosity, honesty, and a shared passion for improving healthcare.
Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
Own SentiLink’s real-time ML model monitoring domain.
Own our ML experimentation, model tracking, and versioning infrastructure.
Drive improvements to the model development process.
SentiLink provides identity and risk solutions for secure transactions. They are backed by investors like Craft Ventures and Andreessen Horowitz, recognized by Forbes Fintech 50, and have offices across the U.S. and India.
Build, maintain, and scale document ingestion + processing pipelines.
Integrate and productionize LLM-powered workflows.
Improve accuracy, reliability, and cost/performance of models and pipelines.
They are building the AI-native operating system for litigation. Their platform turns chaos into knowledge graphs to provide a lasting edge in high-stakes litigation.