Machine Learning Engineer, EvolutionaryScale
More information about location
Frontier AI models for biology
Open for applications
Frontier AI models for biology
1-20 employees
Open for applications
More information about location
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
- Experience with Pytorch or low-level programming is a plus
- Experience with distributed computing frameworks like Apache Spark or Dask
- Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes
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
- The EvolutionaryScale team is based in San Francisco and New York
- Contribute to the process of transitioning research to product by deploying models to production environments
- Collaborate with researchers and engineers at the company’s partners (clients or academic partners) to deploy the company’s technology within their infrastructure. Be effective representatives of the company and our products to partners and other external collaborators
- Manage artifact tracking for different fine-tuned models and data
- Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing
- Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring
- Work on simplification and improvement of codebase abstractions to accelerate research momentum
- Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training
- Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration
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.
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