Software Engineering Intern 2025
Apply NowCompany: FutureHouse, Inc.
Location: San Francisco, CA 94112
Description:
FutureHouse is a new, non-profit AI-for-science lab using AI to automate research in biology and other complex sciences. We are backed by Eric Schmidt, and our mission is to build AI systems that can scale scientific research and allow humanity to proceed as quickly as possible to find cures for disease, solutions for climate change, and other species-accelerating technologies.
We are seeking exceptionally creative, ambitious, and productive individuals to join our team as software engineering intern. Ideal candidates will be collaborators with our existing team of researchers and engineers, leveraging their software skills to implement new systems that help FutureHouse scale and set the state-of-the-art in AI-for-science research. Candidates should be comfortable writing code while also thinking at a systems level for deploying their work.
This role is based in our San Francisco, CA office.
Responsibilities:
Minimum Qualifications:
Preferred Qualifications
What we offer:
And also the normal HR stuff:
What can you expect from FutureHouse?
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We are seeking exceptionally creative, ambitious, and productive individuals to join our team as software engineering intern. Ideal candidates will be collaborators with our existing team of researchers and engineers, leveraging their software skills to implement new systems that help FutureHouse scale and set the state-of-the-art in AI-for-science research. Candidates should be comfortable writing code while also thinking at a systems level for deploying their work.
This role is based in our San Francisco, CA office.
Responsibilities:
- Collaborate as part of a team with other members of technical staff to implement new AI systems that can solve important scientific problems.
- Come up with new ideas, identify and resolve challenges, and figure out how to maximize performance across a wide range of benchmarks.
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a Bachelor's degree in Software Engineering, Computer Engineering or related engineering fields.
- Must obtain work authorization in the United States at the time of hire and maintain ongoing work authorization during employment.
- Programming languages such as Python, and open to mastering new technologies as needed.
- Experience in the operations and deployment of database-backed and asynchronous applications.
- Demonstrated ability to solve challenging problems and implement solutions efficiently.
- Experience with complex ETL and data pipeline architectures is a plus.
- Experience with LLMs for training or inference is a plus.
- Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment.
Preferred Qualifications
- Currently has, or is in the process of obtaining, a Masters or PhD degree in Computer Science or related engineering fields.
- Intent to return to a degree-program after the completion of the internship.
- This internship has a minimum ten (10) week duration with 2025 start dates only.
What we offer:
- We are working on interesting fundamental problems in science. You'll have unique access to working on long-term mission driven problems like how to design AI systems that improve the speed of research.
- We have a ton of resources, including wet lab, compute, etc.
- We publish our work.
- Our headquarters in Dogpatch (SF) is super cool.
And also the normal HR stuff:
- Annual salary range: $100K - $120K
- 401k and company match
- Great medical benefits at low or no cost to you
- Flexible time off
- Visa sponsorship and relocation stipend to bring you to SF, if possible
- The ability to join an ambitious start-up on the ground floor
What can you expect from FutureHouse?
- We are tight-knit and collaborative research culture.
- We are fiercely committed to a flat structure, team science, and individual contributions: we believe that the way to enable discoveries is to enable small, integrated teams of outstanding biologists and AI researchers to iterate rapidly towards 'big-if-true' ideas.
- We work to flexibly hire the best talent in the world and to enable that talent to pursue their best ideas without the normal distractions, like product engineering, grant writing, etc.
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