AI Research Engineer, EvolutionaryScale

$150-350k

Python

PyTorch

Mid and Senior level

New York

San Francisco Bay Area

More information about location

3+ days a week in office

Frontier AI models for biology

Open for applications

Frontier AI models for biology

1-20 employees

HealthcareB2BArtificial IntelligenceBiologySaaSScience

Open for applications

$150-350k

Python

PyTorch

Mid and Senior level

New York

San Francisco Bay Area

More information about location

3+ days a week in office

1-20 employees

HealthcareB2BArtificial IntelligenceBiologySaaSScience

Company mission

To develop artificial intelligence to understand biology for the benefit of human health and society.

Job

Company

Role

Who you are

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

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

Company

Funding (1 round)

Jun 2024

$142m

SEED

Total funding: $142m

Company HQ

Civic Center, New York, NY

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.

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