Machine Learning Engineer

Job Title: Machine Learning Engineer Location: South San Francisco, CA 94080 Employment Type: W2 / 12 month contract with the possibility of extensions, Full-Time, Hybrid Role Overview BEPC is seeking a highly motivated Machine Learning Engineer to join a cutting-edge research division focused on machine learning-based methods for molecular design. This role centers on engineering advanced computational pipelines to support molecular property prediction and active learning in drug discovery. You’ll work alongside interdisciplinary teams to create predictive and generative models for both small and large molecule therapeutics. Key Responsibilities • Build and deploy machine learning and Bayesian optimization pipelines for molecular property prediction and drug discovery workflows. • Collaborate with scientists across computational and experimental teams. • Apply modern ML tools to analyze and design new small and large molecules. • Develop probabilistic modeling frameworks and contribute to de novo molecular design. • Partner with development teams to support therapeutic discovery with data-driven insights. • Contribute to ongoing projects and propose innovative computational initiatives. Qualifications • PhD in a quantitative field (e.g., Computer Science, Chemistry, Computational Biology, Physics), or MS with 3+ years of industry experience. • Proficiency with ML libraries in production environments (e.g., PyTorch, Lightning, Weights & Biases). • Demonstrated record of impact through publications or equivalent work. • Strong written, visual, and verbal communication skills. Preferred Skills • Experience with cheminformatics (e.g., RDKit) or physical modeling (e.g., molecular dynamics). • Knowledge in one or more of the following areas: • Molecular property prediction • Computational chemistry • De novo drug design • Small molecule design • Self-supervised or geometric deep learning • Medicinal chemistry • Bayesian optimization and probabilistic modeling • Statistical methods • Public portfolio (e.g., GitHub) demonstrating computational work. Contract Details • Pay Rate: $70.00 - $78.00 per hour • Schedule: Hybrid (onsite and remote as required) • Location: 1 DNA Way, South San Francisco, CA 94080 • Contract Duration: W2 / 12-month contract with the possibility of extensions, Full Time About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. Apply Now! Submit your resume with examples of how your experience aligns with the responsibilities and qualifications. Include links to relevant publications or GitHub projects, if applicable. USOPS Job Types: Full-time, Contract Benefits: • Dental insurance • Health insurance • Life insurance • Vision insurance Education: • Doctorate (Preferred) Ability to Commute: • South San Francisco, CA 94080 (Required) Work Location: Hybrid remote in South San Francisco, CA 94080