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FutureHouse

Member of Technical Staff - AI Research Engineer

FutureHouse, San Francisco

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Member of Technical Staff - AI Research Engineer

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Member of Technical Staff - AI Research Engineer

Join to apply for the Member of Technical Staff - AI Research Engineer role at FutureHouse

About FutureHouse
FutureHouse is a non-profit AI research lab building an AI Scientist to automate research in biology and other complex sciences. We are seeking exceptional AI Research Engineers with experience designing and developing data pipelines and models for LLM training, experimentation, and deployment. We seek candidates who possess a keen desire to use the forefront of ML & AI technology to accelerate scientific research.

About FutureHouse
FutureHouse is a non-profit AI research lab building an AI Scientist to automate research in biology and other complex sciences. We are seeking exceptional AI Research Engineers with experience designing and developing data pipelines and models for LLM training, experimentation, and deployment. We seek candidates who possess a keen desire to use the forefront of ML & AI technology to accelerate scientific research.
We are interested in applicants with a range of levels of experience. Compensation will depend on seniority.
This position is full-time in-person in San Francisco.
Responsibilities

  • Design and implement data pipelines for efficient training, observability, and processing speed
  • Lead training and orchestration of multi-agent LLMs systems, including model training and agent-tool development.
  • Develop and extend our experimentation platform for internal tools and projects.
  • Collaborate closely with a multidisciplinary team of AI researchers, chemists biologists, fostering an environment of innovation and discovery.
Requirements
  • Experience working with data and ML systems: EDA, feature engineering, model development, model deployment, and validation in production systems.
  • Familiarity with modeling in PyTorch, Jax or equivalent framework.
  • Demonstrated experience with experimentation in academic or industry settings.
  • Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.
Nice To Have
  • PhD in Machine Learning, Computer Science, or other quantitative field
  • Experience training embeddings with custom evaluation set and corpus
  • Experience utilizing custom agents, and employing techniques such as RAG
  • Familiarity with leveraging and managing distributed systems
What We Offer
  • Everyone who works here is extremely smart and mission driven.
  • We are working on problems that are way more interesting than what you'll find anywhere else. Why sell ads or optimize buttons when you can solve science and make breakthrough discoveries in basic 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 - $500K
  • 401(k) plan with company matching
  • 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 To Expect From FutureHouse
  • We are a 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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

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