# Director of Machine Learning **Company**: Bighatbiosciences **Location**: San Mateo, CA **Work arrangement**: hybrid **Experience**: senior **Job type**: full time **Salary**: $250,000 - $365,000 **Category**: IT **Industry**: Healthcare **Apply**: https://bighatbiosciences.pinpointhq.com/en/postings/0c79bfdf-a3f1-4e55-a1e4-93abb5930c45?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_bbc52a5b-ed5 ## Description BigHat Biosciences is seeking an exceptional player-coach to serve as Director of Machine Learning. Reporting to the CIO, you will own the technical direction, and a meaningful share of the hands-on execution, of BigHat's machine learning capabilities and the growing domain of machine learning operations, including agent development and how agents automate and extend our internally built computational platform and force multiply the impact of our teams. We are looking for someone with genuine theoretical depth and the vision to say where ML-driven antibody design should go next. Your team will develop state-of-the-art antibody property models with the goal of iteratively improving our antibody designs and you’ll own the proof points that demonstrate the impact of these models. You’ll build agent services to bolster the agility and impact of our teams and work with frontier AI labs to adapt LLMs to new agentic antibody design challenges. As our platform value grows, so does our opportunity to create new and valuable platform partnerships. You will be accountable for the ML that differentiates our therapeutic programs, and for the modeling capabilities we put in front of data and model partners. At BigHat, we only declare success upon synthesis of real antibodies with drug-like properties that improve patient outcomes. This is a rare opportunity to run frontier ML within a one-of-a-kind production platform, with an automated high-throughput wet lab generating the data to fuel it. ## Key Responsibilities - ML strategy and vision: Own and continuously sharpen BigHat's machine learning roadmap. Articulate where the field is going and where we intend to lead. - Deliver best in class therapeutic models: Utilize BigHat’s data repository and data generation capabilities to create multi-objective predictive models to demonstrate a durable, benchmarked, best-in-industry proof that better models accelerate real therapeutics. - Frontier models joined with best-in-class data: Apply frontier models, utilizingBigHat’s unique datasets and data capabilities, against nature’s hardest protein design challenges. - Agentic direction: Join forces across the CIO organization to steer our unified LLM and ML approach. - Program impact: Ensure that models, provenance, and benchmarks flow through our infrastructure without heroics, and that build-test-train design rounds fully leverage model insight for all 2k+ antibodies designed each week. - Platform as product: Work with business development, partnerships, and executive leadership to translate our data generation and modeling capabilities into offerings that frontier AI companies and biopharma partners can buy. - Team leadership: Mentor and grow a small, senior team of ML scientists and engineers. - External leadership: Publish, present, and engage the ML and protein engineering communities. ## Skills, Knowledge & Expertise - Theory and vision: You reason from first principles about why a method should work, design the experiment that would falsify it, and explain the whole thing clearly to a room of interdisciplinary scientists. - Technical mastery: Deep, current command of modern ML: generative models of protein sequence and structure, Bayesian optimization and active learning, uncertainty quantification, data-efficient predictive modeling/in-context learning, etc. - Player-coach instinct: You lead by doing as well as by directing. - Operational excellence: You have shipped ML into production systems and care about reproducibility, provenance, benchmarking, and cycle time as much as about model architecture. - Biological fluency: Working knowledge of antibody biology, developability, and drug development, or the demonstrated ability and appetite to acquire it quickly. ## Benefits The salary estimated for this position is $250,000 - $365,000 + bonus + options + benefits. ## Skills ### Required - Machine Learning - Python - PyTorch - MLOps - Cloud Computing - Software Engineering - Antibody Biology - Protein Engineering --- Source: [Apply at bighatbiosciences.pinpointhq.com](https://bighatbiosciences.pinpointhq.com/en/postings/0c79bfdf-a3f1-4e55-a1e4-93abb5930c45?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)