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    Infographic showing various Software job openings at Cosourcing Partners in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% Physical, and 67% Remote job distribution.

    Applied AI Engineer

    Co-Sourcing Partners

    New York, NY • On-site

    Contractor

    Re-posted 5 days ago

    Job description

    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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