Job Title: Applied AI Engineer
Duration: 6-12 months contract to hire
Location: NYC or San Francisco, CA
Job Type: Onsite
Our client is an applied biological intelligence company. They build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape.
Our client is a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking a highly skilled, data-centric
AI Engineer to develop and apply state-of-the-art ML methods for assessing and responding to biological threats and for rapidly designing precision biologics.
The Role - Contribute to crafting and executing on the client-wide research and development roadmap
- Develop, build, and apply modeling approaches-including adapting and post-training biological frontier models-for tasks in biological security and the design of precision biologics
- Develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks
- Interrogate models to understand their biological learnings, capabilities, and limitations
- Collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data, and to create and curate datasets
- Collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure
- Visualize and communicate results within Client and externally
- Work with customers and external collaborators to understand their needs and be an effective representative of Client
- Embrace learning about areas technical and non-technical across Client
- Stay up-to-date on the state-of-the-art methods at the intersection of AI and biology
Qualifications (required) - Experience with data-centric development and evaluation of ML models
- Highly proficient in Python and deep learning libraries (e.g., PyTorch)
- Experience with cloud computing platforms (e.g., AWS) and distributed systems
- Strong understanding of probability and statistics
Qualifications (preferred) - Proven ability to design, implement, and evaluate new ideas in ML
- Experience with pre- or post-training language models, developing reasoning agents, and/or time series modeling
- Experience working with biological data or other types of noisy and heterogenous datasets
- Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
- Experience building data pipelining and training infrastructure
- Contributions to open-source projects
If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team. Apply at CoSourcing Partners.com
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