Senior AI Engineer, Scientific Training & Collaboration

Edison Scientific

San Francisco (CA)

On-site

USD 220,000 - 350,000

Full time

14 days+
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Full healthcare coverage
401(k) matching
Parental leave

Job summary

FutureHouse seeks a Senior AI Engineer to lead AI efforts for Postdoctoral Fellows and research partners, designing, building, and deploying AI agents and tools across neuroscience, molecular biology, and genetics. The role emphasizes collaboration with researchers to understand goals, workflows, and constraints, delivering technical software solutions to advance biological discovery.

You will teach and coach Fellows, developing practical tutorials and bridging frontier AI capabilities with

Qualifications

  • 5+ years of machine-learning and software engineering experience.
  • Proficiency in Python and comfort picking up new tools quickly.
  • Experience building with LLMs, AI/ML systems, agent architectures, or AI-enabled applications.
  • MS in science or equivalent research experience in an academic lab or life sciences company.

Responsibilities

  • Perform cutting edge research by applying AI to biological research problems in collaboration with post‑doctoral Fellows and other research collaborators.
  • Teach Fellows and other collaborators to build, adapt, and use AI tools in their research by providing ongoing technical coaching and support.
  • Develop and deliver practical technical instruction, workshops, and curriculum to help researchers build competency with AI agents, LLM-powered applications, and related tools.

Skills

Machine learning
Software engineering
Python
LLMs
Teaching/mentoring

Education

MS in science or equivalent research experience
PhD preferred

Job description

About FutureHouse

FutureHouse is a non‑profit research organization using AI to accelerate frontier biology research. We provide biology researchers with the tools, training, and infrastructure to apply AI to ambitious questions at the cutting edge of biological discovery. Our flagship program today is the AI‑for‑Science Independent Postdoctoral Fellowship, which supports early‑career scientists at the intersection of frontier AI and leading academic research. The Fellowship provides what many programs cannot: industry‑grade compute, dedicated software engineering support, and mentorship from world‑class academic co‑advisors.

Role

We are seeking a Senior AI Engineer to serve as a technical collaborator, educator, and AI engineering lead for our Postdoctoral Fellows and research partners. In this interdisciplinary role, you will design, build, and deploy AI agents and tools for biology projects spanning neuroscience, molecular biology, genetics, and other sub‑domains while working closely with researchers to understand their goals, workflows, and constraints. You will help solve complex scientific problems by providing technical software solutions and identifying where AI can have the greatest impact.

You will also play a central role in teaching and coaching Fellows, helping them build fluency with AI tools to integrate them into their research. This includes developing practical tutorials, supporting ongoing learning, and serving as a bridge between frontier AI capabilities and real‑world scientific needs. Success in this role requires strong communication, the ability to explain technical concepts clearly, and a collaborative approach to working with highly skilled researchers.

The ideal candidate combines strong software engineering and AI/ML expertise with scientific curiosity, sound judgment, and project management skills. They are comfortable operating independently, building production‑quality systems, and managing complex, multi‑stakeholder projects. An M.S. in science or equivalent research experience in an academic lab or life sciences company is required. A Ph.D. or advanced research experience in biology, chemistry, or a related field is strongly preferred.

This position is full‑time and in‑person in San Francisco, with competitive compensation and benefits.

Responsibilities
  • Perform cutting edge research by applying AI to biological research problems in collaboration with post‑doctoral Fellows and other research collaborators.
  • Teach Fellows and other collaborators to build, adapt, and use AI tools in their research by providing ongoing technical coaching and support.
  • Develop and deliver practical technical instruction, workshops, and curriculum to help researchers build competency with AI agents, LLM‑powered applications, and related tools.
Requirements
  • 5+ years of machine‑learning and software engineering experience, including a track record of building and shipping production‑quality software that real users depend on.
  • Strong engineering foundation, including proficiency in Python and comfort picking up new tools and frameworks quickly.
  • Experience building with LLMs, AI/ML systems, agent architectures, or AI‑enabled applications.
  • An M.S. in science or equivalent research experience in an academic lab or life sciences company.
  • Comfortable operating independently, building from scratch, driving clarity in ambiguous situations, and wearing multiple hats.
  • Demonstrated ability to teach, coach, mentor, or train technical or scientific audiences.
  • Strong project management skills, including the ability to scope ambiguous problems, prioritize effectively, manage dependencies, and drive work to completion.
  • Willingness and ability to learn new scientific domains quickly.
Bonus points for
  • Ph.D. or equivalent research experience in biology, chemistry, bioengineering, computational biology, neuroscience, or a related scientific discipline.
  • Fluency in TypeScript and/or other programming languages.
Compensation
  • $220,000 - $350,000
Why join us?
  • Competitive salary
  • Full healthcare coverage — we pay 100% of premiums for you and your dependents
  • 401(k) company matching
  • Mental health support through Rula, our in‑network therapist and psychiatrist network with fast availability
  • 12 weeks of paid parental leave for maternity, paternity, and adoption
  • Lunch is on us every day you're in the office
  • Regular team offsites and company events
  • A mission‑driven culture where smart people do their best work and actually enjoy doing it

FutureHouse is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior AI Engineer, Scientific Training & Collaboration
Senior AI Engineer, Scientific Training & Collaboration

Edison Scientific Inc. • San Francisco (CA)

On-site
USD 220,000 - 350,000
Healthcare coverage
Parental leave
Mental health support
+5
Senior AI Engineer for Science & Biology Tools
Senior AI Engineer for Science & Biology Tools

Edison Scientific Inc. • San Francisco (CA)

On-site
USD 220,000 - 350,000
Healthcare coverage
Parental leave
Mental health support
+5
Senior AI Engineer — AI Tools for Biology & Fellows
Senior AI Engineer — AI Tools for Biology & Fellows

Edison Scientific • San Francisco (CA)

On-site
USD 220,000 - 350,000
Full healthcare coverage
401(k) matching
Parental leave
Research Associate, AI Research Wet Lab
Research Associate, AI Research Wet Lab

Biohub • Redwood City (CA)

On-site
USD 71,000 - 89,000
Relocation support
401(k) matching
Paid time off
Research Engineer I II/III (AI / Machine Learning)
Research Engineer I II/III (AI / Machine Learning)

NLP PEOPLE • United States

On-site
USD 78,000 - 114,000
Healthy work-life balance
Competitive salary
Excellent benefits
+1
Technology Lead, Agentic AI and R&D (Bay Area or Remote)
Technology Lead, Agentic AI and R&D (Bay Area or Remote)

EMD Electronics • San Jose (CA)

Hybrid
USD 119,000 - 179,000
Health insurance
Paid time off
Retirement contributions
+1
Director, Applied Machine Learning
Director, Applied Machine Learning

Handshake • San Francisco (CA)

Hybrid
USD 180,000 - 250,000
Equity ownership
401(k) match
Parental leave
+3
Senior AI Engineer
Senior AI Engineer

Weave • San Francisco (CA)

Hybrid
USD 175,000 - 215,000
Comprehensive health, dental and vision insurance
Generous PTO and parental leave
Career development opportunities
+1
Research Scientist Intern
Research Scientist Intern

GenBio AI • Palo Alto (CA)

On-site
USD 80,000 - 120,000
AI Research Scientist
AI Research Scientist

ClearCompany Talent Management Software • Seattle (WA)

On-site
USD 146,000 - 184,000
Medical, dental, and vision insurance
401k plan
Paid time off