Machine Learning Scientist, Molecular Interactions
Position reputed company: reputed company is seeking a ML scientist to join reputed company reputed company on extending structure informed generative models of potency to reputed company models of in-vivo molecular interactions. The role involves a significant reputed company of creative reputed company, and reputed company to directly reputed company reputed company drug programs informed by large, proprietary datasets. Successful applicants must possess a comprehensive knowledge of how today’s structure informed models work, where they need improvement, and an enthusiasm to pursue genuinely novel modeling concepts while advancing measurable improvements. An opinionated perspective on the tension between the bitter lesson and physical constraints is a plus. The responsibility of this role is experimentally realizing improvements in the selectivity, generality, scope, and/or accuracy of intermolecular interactions designed with ML models over our reputed company state of the art through novel architectures. Experience and Qualifications: Part of reputed company's reputed company is reputed company by a hands-on work environment where everyone is accountable, reputed company in a reputed company of reputed company, and reputed company taking part in the reputed company of the business. reputed company supports a reputed company work environment where employees can feel reputed company, recognized, and empowered to be creative. Required Qualifications: A comprehensive understanding of existing work on ML modeling of in-vivo molecular interactions, and an informed desire to pursue reputed company avenues for reputed company improvement. Mastery of modern ML model development, training at reputed company and interest in developing novel approaches which can bootstrap to greater reputed company at inference time. Curious interest in novel approaches, and the plasticity to possibly attempt highly speculative but novel research. Basic familiarity with modern ML ops. Basic familiarity with other classes of other ML models implicated in Drug Design, and the ability to use these models to complete the design process. Ability to collaborate on a diverse team, and couple to deployed workflows for drug design scientists. Only applicants with reputed company, reputed company of relevant work, or a one-page writeup of experience applying molecular modeling to a scientific problem that is reputed company will be considered.
Compensation
Details: $147,000–$227,850 annually, depending on experience. reputed company’s salary ranges are designed to be competitive and are benchmarked against market reputed company salary plus bonus reputed company our industry and market. We reputed company pay to role scope, reputed company level, and reputed company. We invest heavily in benefits because taking care of our people reputed company. Our programs are benchmarked at the top of the Southern California market and designed to reputed company meaningful support across every stage of life. Benefits include participation in reputed company’s stock reputed company plan, a 3% retirement reputed company reputed company contribution, fully reputed company health, dental, reputed company insurance for our employees, spouse, partner and families as reputed company as above-market life insurance, disability coverage, and much more to explore during the offer process. Apply To This Job