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Salary: USD 220,000 - 310,000 / annual
Edison Scientific (operating through FutureHouse, a non-profit research organization) builds and deploys AI scientist agents to accelerate scientific discovery and medicine development. The company is run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
FutureHouse supports early-career scientists through its AI-for-Science Independent Postdoctoral Fellowship, providing industry-grade compute, dedicated software engineering support, and mentorship. The organization focuses on helping biology researchers apply AI to ambitious questions at the cutting edge of biological discovery.
In this Senior AI Engineer role, you will serve as a technical collaborator, educator, and AI engineering lead for Postdoctoral Fellows and research partners. You will design, build, and deploy AI agents and tools for biology projects spanning neuroscience, molecular biology, genetics, and other sub-domains. Working closely with researchers, you will understand their goals, workflows, and constraints, then provide technical software solutions and identify where AI can have the greatest impact.
A significant part of your responsibility involves teaching and coaching Fellows to build fluency with AI tools for their research. You will develop practical tutorials, support ongoing learning, and serve as a bridge between frontier AI capabilities and real-world scientific needs. This requires strong communication skills, the ability to explain technical concepts clearly, and a collaborative approach to working with highly skilled researchers.
You will perform cutting-edge research by applying AI to biological research problems in collaboration with postdoctoral Fellows and other research collaborators. You will develop and deliver practical technical instruction, workshops, and curriculum to help researchers build competency with AI agents, LLM-powered applications, and related tools. Success requires strong software engineering and AI/ML expertise combined with scientific curiosity, sound judgment, and project management skills. You must be comfortable operating independently, building production-quality systems, and managing complex, multi-stakeholder projects.
REQUIREMENTS:
- 5+ years of machine learning and software engineering experience, with 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
- M.S. in science or equivalent research experience in an academic lab or life sciences company (required)
- 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:
- 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
