Founding AI/Data Engineer (Remote)
@ Glass Health Inc.Founding AI/Data Engineer (Remote)
This job is still taking applications, but it's been up a while.
About the job
Glass Health is physician co-founded, focused on leveraging AI to improve patient care and clinician experience. The role involves building scalable platforms, AI features, and working in a fast-paced, collaborative startup environment to impact healthcare globally.
Requirements
- 5+ years engineering experience
- Experience with TypeScript/React
- Proficiency in Python backend
- Ability to scale systems
- Ownership in startup environments
Qualifications
- Bachelor's degree or equivalent
- Strong problem-solving skills
- Interest in AI and LLM tech
- Collaboration and humility
- Fast learner and proactive
Full job description
Depending on the role, you will:
- Design and build the development and production platforms that power our new products, enabling reliability and security at scale
- Own the development of new user-facing generative AI features and product experiences end-to-end
- Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
- Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems
- Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
- Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed
You might thrive in this role, if you:
- Have 5+ years of engineering experience in various tech environments, including product-driven companies.
- Have experience with TypeScript/React on the frontend, Python on the backend, adaptability, and a drive to learn new technologies.
- Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment.
- Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand.
- Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs.
- You are excited about and stay up-to-date with rapidly advancing changes in AI and LLM technology.
- Demonstrate humility, a collaborative spirit, and a willingness to support your colleagues to ensure team success.
- Take ownership of challenges from start to finish, and are proactive in learning new skills as needed.
- Build tools to accelerate your own (and your teammates’) workflows, but only when off-the-shelf solutions won’t do.
- Have experience in startup environments, either as a founder or an early-stage engineer (bonus points, not required).
- Are familiar with healthcare, EHR, HIPAA & other healthcare regulatory structures (bonus points, not required).
Tech Stack
- LLMs: OpenAI & similar
- Backend: Python, Django, Postgres
- Frontend: React, Typescript
- Infrastructure: GCP, Docker
- On the data/AI side: Relatively greenfield ELT+RAG setup that enables us to answer specialist user queries using millions of medical articles that we've compiled and processed ourselves.
Compensation, Benefits and Perks
- Flexible work hours & generous PTO
- High autonomy and support from a collaborative team
- New Macbook Pro
- Work from home stipend
- Personal development stipend
Why join Glass?
- You dream of improving healthcare with us for both patients and physicians.
- You want to join a company that’s always been focused on improving patient care. Since 2022, Glass has already helped physicians-in-training and physicians with better tools including our DDx, Clinical Plan and Glass Notebooks. We have just launched our game-changing AI CDS to provide doctors with real-time suggestions and insights.
- You’re passionate to serve our growing, immensely loving and respectful community, including 150+ physicians & physicians-in-training.
- Be on the bleeding-edge of AI. We strive to be the best-in-class AI CDS, and we’ll be harnessing and developing novel approaches along the way.
- We are at an inflection point on our startup journey. We’ve raised 6.5M (including 5M seed round) from:
- Top-tier investors, such as YCombinator and Initialized
- Our first health system partner, Kaiser Permanente Mid Atlantic
- Top healthcare CEOs, including Tom Lee of One Medical, Heather Hasson & Trina Spear of FIGS, Connor Landgraf of Eko Health, Othman Lararki of Color Genomics, and Dan Siroker of Rewind and Optimizely. We will raise our Series A this year.
Interview process
- Initial background/light technical interview (45 mins)
- Live coding challenge (1 hr)
- Final interview: System design problem + realistic work simulation challenge (live; ~1.5-2 hr)
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