Location: Remote (India) Duration: 8–12 weeks Compensation: Benefits listed below Floe Health is an AI-driven healthcare technology company focused on fixing referral breakdowns and coordinating patient journeys across health systems. We work with leaders across major provider networks and are building a high-velocity product team to support upcoming deployments. We are hiring Software Engineering Interns who want real-world startup experience, meaningful ownership, and exposure to engineering inside a fast-moving AI company. This role is ideal for students who already understand the basics of software development and want to contribute to production-grade applications. Responsibilities As a Software Engineering Intern, you will: Build and maintain APIs, microservices, or frontend components depending on your track Work in a modern stack (React, Node/Python, PostgreSQL) Contribute to feature development across patient intake, provider dashboards, and AI workflow tools Write clean, maintainable code and follow Git workflows Participate in code reviews and collaborate with senior engineers Assist in troubleshooting, debugging, and improving system performance Take end-to-end ownership of small features or modules Qualifications Required: Pursuing a degree in Computer Science or related field (any year) Strong foundational understanding of programming concepts Experience with at least one of: JavaScript/TypeScript, React, Python, Node.js Ability to build basic APIs and work with Git Curiosity, initiative, and willingness to learn fast in an unstructured environment Nice to have: Experience with databases (PostgreSQL, MongoDB, etc.) Understanding of APIs, authentication, or DevOps concepts Side projects or GitHub repositories demonstrating real work Familiarity with AI tooling or LLMs What You'll Gain (Benefits) Although this is an unpaid internship, we provide meaningful benefits to support your learning and career growth: Hands-on product experience — work on real features used by providers 1:1 mentorship from engineers with backgrounds at Google, Meta, and top AI startups Letter of recommendation based on performance Cursor Pro+ license for the duration of the internship Fireside sessions with engineering and AI leaders Exposure to building production-quality systems at an early-stage startup Opportunity for a future part-time or full-time role based on performance
Location: Remote (India) Duration: 8–12 weeks Compensation: Benefits listed below Floe Health is an AI-driven healthcare technology company focused on fixing referral breakdowns and coordinating patient journeys across health systems. We work with leaders across major provider networks and are building a high-velocity product team to support upcoming deployments. We are hiring Machine Learning Interns who want real-world startup experience, meaningful ownership, and exposure to applied ML inside a fast-moving AI company. This role is ideal for students who understand core ML concepts and want to contribute to real models, data pipelines, and evaluations that support production use cases. Responsibilities As a Machine Learning Intern, you will: Assist in building and maintaining ML pipelines for classification, prediction, and information extraction Work with Python-based ML stacks (PyTorch, TensorFlow, scikit-learn, Hugging Face) Clean, preprocess, and analyze structured and unstructured healthcare datasets Contribute to prompt engineering and evaluation workflows for LLM-based systems Collaborate with engineering to integrate models into product workflows Document experiments, metrics, and learnings Take end-to-end ownership of small ML research or data tasks Qualifications Required: Pursuing a degree in Computer Science, AI/ML, Data Science, or related field (any year) Strong understanding of ML fundamentals: supervised learning, model evaluation, bias/variance, etc. Experience with Python and common ML libraries (NumPy, pandas, scikit-learn) Ability to run experiments and analyze results Comfort working with Git and following basic workflows Curiosity, initiative, and the ability to work in a fast-paced, unstructured environment Nice to have: Experience with PyTorch, TensorFlow, or Hugging Face Transformers Familiarity with LLMs, prompt engineering, or embeddings Knowledge of data preprocessing for text or time-series data Understanding of evaluation frameworks, A/B testing, or metrics design Side projects, research papers, or Kaggle work demonstrating hands-on ML experience Exposure to healthcare data (not required) What You'll Gain (Benefits) Although this is an unpaid internship, we provide meaningful benefits to support your learning and career growth: Hands-on applied ML experience — work on real models used in healthcare workflows 1:1 mentorship from engineers and ML practitioners with backgrounds at Google, Meta, and top AI startups Letter of recommendation based on performance Cursor Pro+ license for the duration of the internship Fireside sessions with industry leaders in AI, ML, and healthcare Experience deploying ML models and evaluations in an early-stage startup Opportunity for a future part-time or full-time role based on performance
Location: Remote (India) Duration: 8–12 weeks Compensation: Benefits listed below Floe Health is an AI-driven healthcare technology company focused on fixing referral breakdowns and coordinating patient journeys across health systems. We partner with leaders across major provider networks and are building a fast-moving product team to support upcoming deployments. We are hiring Product Design Interns who want real-world startup experience, meaningful ownership, and exposure to designing end-to-end workflows in a modern AI product. This role is ideal for students who understand the basics of user-centered design and want to work closely with founders and engineers to bring new product experiences to life. Responsibilities As a Product Design Intern, you will: Contribute to UX/UI design for patient, provider, and operations-facing features Create wireframes, user flows, prototypes, and interaction designs Work in tools such as Figma to iterate quickly and collaborate with the team Conduct lightweight user research, usability reviews, and gather feedback Help define design systems, components, and visual guidelines Collaborate with engineering and product to ensure smooth handoff and implementation Take ownership of small features, from initial concept to final design Qualifications Required Pursuing a degree in Design, HCI, Product Design, or related field (any year) Strong foundational understanding of UX principles and UI patterns Experience with Figma or similar design tools Ability to create clean wireframes and simple prototypes Strong attention to detail and a willingness to iterate fast Curiosity, initiative, and comfort working in an unstructured environment Nice to have Experience designing dashboards or workflow tools Knowledge of design systems or component libraries Understanding of user research fundamentals A portfolio showcasing 1–2 projects (coursework or personal projects welcome) Familiarity with healthcare, AI tools, or SaaS products What You'll Gain (Benefits) Although this is an unpaid internship, we provide meaningful benefits to support your learning and career growth: Hands-on product design experience — work on real features used by real providers 1:1 mentorship from designers and product leaders with experience in top startups Letter of recommendation based on performance Figma Pro license for the duration of the internship Fireside sessions with industry leaders across product, design, and AI Exposure to designing for complex operational and healthcare workflows Opportunity for a future part-time or full-time role based on performance
Location: Remote (India) Duration: 812 weeks Compensation: Benefits listed below Floe Health is an AI-driven healthcare technology company focused on fixing referral breakdowns and coordinating patient journeys across health systems. We work with leaders across major provider networks and are building a high-velocity product team to support upcoming deployments. We are hiring Software Engineering Interns who want real-world startup experience, meaningful ownership, and exposure to engineering inside a fast-moving AI company. This role is ideal for students who already understand the basics of software development and want to contribute to production-grade applications. Responsibilities As a Software Engineering Intern, you will: Build and maintain APIs, microservices, or frontend components depending on your track Work in a modern stack (React, Node/Python, PostgreSQL) Contribute to feature development across patient intake, provider dashboards, and AI workflow tools Write clean, maintainable code and follow Git workflows Participate in code reviews and collaborate with senior engineers Assist in troubleshooting, debugging, and improving system performance Take end-to-end ownership of small features or modules Qualifications Required: Pursuing a degree in Computer Science or related field (any year) Strong foundational understanding of programming concepts Experience with at least one of: JavaScript/TypeScript, React, Python, Node.js Ability to build basic APIs and work with Git Curiosity, initiative, and willingness to learn fast in an unstructured environment Nice to have: Experience with databases (PostgreSQL, MongoDB, etc.) Understanding of APIs, authentication, or DevOps concepts Side projects or GitHub repositories demonstrating real work Familiarity with AI tooling or LLMs What You'll Gain (Benefits) Although this is an unpaid internship, we provide meaningful benefits to support your learning and career growth: Hands-on product experience work on real features used by providers 1:1 mentorship from engineers with backgrounds at Google, Meta, and top AI startups Letter of recommendation based on performance Cursor Pro+ license for the duration of the internship Fireside sessions with engineering and AI leaders Exposure to building production-quality systems at an early-stage startup Opportunity for a future part-time or full-time role based on performance