Machine Learning / Backend Research Engineer, Hippocratic AI
5 days a week in office (Palo Alto, CA)
Large Language Model for healthcare
Be an early applicant
Large Language Model for healthcare
101-200 employees
Be an early applicant
5 days a week in office (Palo Alto, CA)
101-200 employees
Company mission
To close the growing shortage of healthcare workers worldwide.
Role
Who you are
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field. (Master's is preferred)
- 2-5+ years of experience in backend development using programming languages like Python, Golang, or similar
- Experience building and maintaining multi-modal data pipelines (speech, vision, and text) using Ray or Apache Airflow for distributed processing and model experimentation
- Distributed computing with Spark, Hadoop, or similar
- Familiarity with relational database systems and RESTful APIs
- Basic understanding of cloud infrastructure (e.g. AWS, GCP)
Desirable
- Exposure to AI/ML concepts or experience working with LLMs
- Experience working in teams that handle sensitive or regulated data
- Familiarity with gRPC, graphQL or similar
- Experience with real-time audio
- Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems
- Experience with data science
What the job involves
- Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare
- Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health
- Build the next generation of voice agents
- Work with an interdisciplinary team
- Develop a highly scalable infrastructure for LLM processing
- Develop and maintain scalable backend systems to support high-performance AI applications in healthcare
- Collaborate with cross-functional teams, including data scientists and ML engineers, to design and build efficient data pipelines for large-scale healthcare datasets
- Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models
- Monitor and improve backend systems to optimize performance, reliability, and uptime
- Work closely with product managers to understand healthcare requirements and help transform them into technical solutions
- Develop and optimize backend infrastructure supporting data ingestion, feature extraction, and tagging workflows
- Implement tag management and metadata systems to streamline dataset organization and retrieval
- Contribute to end-to-end ML workflows, integrating data preparation, training, evaluation, and deployment into reproducible pipelines
Our take
The healthcare system is under increasing pressure to improve performance and patient outcomes, while battling inefficient operations and an ongoing staff shortage. Hippocratic AI hopes to help the industry address these issues, by supplying LLM-powered healthcare agents.
Hippocratic's agents can be employed in a number of scenarios, for example follow-ups with discharged patients, health risk assessments, or pre-op chats. Rather than delivering one conversational agent, the company has specified models that deal with different conditions - just one part of its safety-focussed approach.
By taking measures such as getting real nurses to assess its AI, Hippocratic solidifies this commitment to safety. And it's seen significant investments which its using to further fund safety tests as well as develop its product. Most recently, it has partnered with EUCALIA to bring generative AI to Japan, putting the company on a good growth trajectory.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Nov 2025
$126m
SERIES C
Jan 2025
$141m
SERIES B
Total funding: $402m
Company HQ
Ventura, Palo Alto, CA
Leadership
Munjal Shah
(Co-Founder & CEO)Formerly CEO and Co-founder of Health IQ. Also co-founded Like.com, which was acquired by Google, and Andale Inc that was acquired by Vendio and then Alibaba.
Vishal Parikh
(Co-Founder & CPO)Co-founded Health IQ, where they worked as CTO, CRO then CPO. Founded and was a Software Architect at Motiv Power Systems.
Meenesh Bhimani MD, MHA
(Co-Founder & Chief Medical Officer)Former COO of El Camino Health. Has worked in several roles at O'Connor Hospital, most recently Hospital Executive/COO. Earned their MD at The Johns Hopkins University School of Medicine.
Subhabrata Mukherjee
(Co-Founder & Chief Scientific Officer)Was Principal Researcher at Microsoft Research (MSR) Redmond for 4 years, and before that a Machine Learning Scientist at Amazon. Earned a PhD from the Max Planck Institute for Informatics.
Alex Miller
(Co-Founder & COO)Previously Co-founder and SVP of Engineering and Sales Operations at Health IQ. Also co-founded and was CTO at Jump Gaming.
Saad Godil
(Co-Founder & CTO)Previously spent 15 years at NVIDIA, as Director of Verification (GPU) then Director of Applied Deep Learning Research.
Kim Parikh
(Co-Founder & SVP - Data & Content)Former VP of Strategy and Operations at Health IQ. Also worked in High Yield and Leveraged Finance at PIMCO, and Derivatives And Leveraged Finance at Western Asset Management.
Debajyoti Datta
(Co-Founder & AI Research Scientist)Earned a PhD in Machine Learning from the University of Virginia. Has worked as a Machine Learning Engineer for x.ai, Research Engineer for Crossing Minds and Machine Learning Fellow at Intuition Machines.
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