AI Research Engineer, EvolutionaryScale
Frontier AI models for biology
Open for applications
Frontier AI models for biology
1-20 employees
Open for applications
1-20 employees
Company mission
To develop artificial intelligence to understand biology for the benefit of human health and society.
Role
Who you are
- To continue to move the field forward in this emerging area, we prioritize individuals who have shown excellence and creativity in their respective domains over specific domain expertise
- Having both biology and AI expertise is great, but not a requirement
- Proficiency in programming languages such as Python
- M.Sc. in computer science or related field; or equivalent experience
- 3+ years of experience implementing models with pytorch or equivalent tools
- Ability to plan and run ML experiments, analyze and communicate outcomes
What the job involves
- Our team bridges the gap between deep research and product development
- We work together as a team to solve big research challenges, and value the ability to communicate and collaborate well
- Research Engineers and Researcher Scientists are both researchers, and we assign equal value to both roles without hierarchy between them
- We expect our technical staff to contribute to both research and engineering, while team members can sometimes be stronger at one or the other
- Understand the state of the art in AI or biology and move forward at least one of those fields
- Contribute to executing the research roadmap for the company, including large-scale pretraining of foundation models, fine-tuning foundation models for impactful applications in biology, applying AI models in workflows solving applied problems in biology, etc
- Drive the research for a portion of the company’s cutting-edge foundation model efforts and lead projects in that area
- Implement software for research initiatives
- Collaborate with other researchers and engineers
- Engage the wider scientific community through impactful publications and open source releases
Our take
EvolutionaryScale, an AI startup pioneering the 'ChatGPT moment for biology', is at the forefront of transforming the field with its ground-breaking technology. Backed by Amazon Web Services and NVIDIA's venture capital arm, the company aims to revolutionize biology through artificial intelligence.
Central to EvolutionaryScale's mission is ESM3, the first large language model for creating novel proteins. It leverages a vast dataset of nearly 2.8 billion proteins, plus computational tools that analyze protein sequence, structure and function simultaneously. This can help accelerate drug discovery, as well as enable sustainable solutions through engineered microbes.
EvolutionaryScale's approach should help accelerate scientific breakthroughs and enhance precision in biotechnological applications. The company's success hinges on its ethical use of AI to tackle these challenges, by accelerating protein engineering beyond natural evolution so that it can be put to use against our greatest problems.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Jun 2024
$142m
SEED
Total funding: $142m
Company HQ
Civic Center, New York, NY
Articles
Leadership
Alex Rives
(Co-Founder)Serial Entrepreneur having previously co-founded Kallyope, Syros Pharmaceuticals and Fate Therapeutics. Before founding Evolutionary Scale they worked as a Research Scientist at Facebook AI.
Tom Sercu
(Co-Founder)Previously an Engineering Manager at Meta. Before that they were a Research Engineer at IBM and a Research and Teaching Assistant at New York University.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 5 more jobs at EvolutionaryScale