EvolutionaryScale

18 Total Employees

Similar Companies Hiring

Software • Professional Services • Productivity • Information Technology • Cloud
Chicago, IL
45 Employees
Software • Infrastructure as a Service (IaaS) • Cloud • Artificial Intelligence
2 Offices
53 Employees
Software • News + Entertainment • Marketing Tech • Generative AI • Enterprise Web • Digital Media • Consumer Web
2 Offices
14 Employees
Jobs at EvolutionaryScale

Search the 5 jobs at EvolutionaryScale

Artificial Intelligence • Software
The Research Scientist will conduct protein engineering and molecular biology projects, focusing on protein expression, purification, and interaction characterization. Responsibilities include developing assays, data presentation, and collaborating with cross-functional teams to advance AI-guided protein design.
Artificial Intelligence • Software
The Research Associate in Protein Sciences will engage in protein engineering projects, employing molecular biology techniques, conducting protein expression, purification, and characterization using biophysical methods. This role involves collaboration with teams to analyze data, prepare documentation, and optimize assays while maintaining laboratory compliance.
Artificial Intelligence • Software
The Software Engineer will be responsible for full stack development focusing on frontend technologies. They will develop user interfaces for machine learning models and collaborate with researchers to create scalable API and frontend solutions, while also improving and deploying within AWS infrastructure.
Artificial Intelligence • Software
The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.
Artificial Intelligence • Software
As a Research Engineer, AI, you will contribute to executing the company's research roadmap by pretraining and fine-tuning foundation models for biology applications, implementing software for research initiatives, and collaborating with a multi-disciplinary team to drive projects in cutting-edge AI and biology.