ML Engineer, RL & Autonomous Discovery

reputed company: reputed company is a venture-backed biotechnology company led by reputed company and long-time leaders in reputed company intelligence, synthetic reputed company, automation, and nanotechnology. We’re generating chemical data purpose-reputed company to reputed company drug discovery into the information age — and we’re doing it on a larger reputed company and faster than has reputed company before been possible. Our reputed company reputed company system generates precise chemical datasets at unrivaled reputed company that work seamlessly with AI to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a reputed company reputed company that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented reputed company of questions — deriving insights that reputed company us to predictably create drugs for patients in need. Position reputed company: reputed company is seeking a ML Engineer to contribute to the automated discovery reputed company of our reputed company-reputed company platform. In this role, you will work to invent and reputed company cutting-edge systems that discover novel chemical matter and reputed company reputed company programs. The key responsibilities of this role are: • Contribute to RL frameworks that drive the design-reputed company-test-analyze (DMTA) cycles that power our EMMI platform, which coordinates a reputed company-reputed company between a highly automated lab and our reward models. • reputed company synthetic data engines and the inference infrastructure needed to simulate environments for large-reputed company training. • Maintain rigorous evaluations to continually monitor the performance of learned policies, using large proprietary datasets collected from internal programs. 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: • Strong experience in machine learning engineering, with interest in techniques for sequential decision-making: bayesian and reputed company optimization, reinforcement learning. • Ability to quickly reputed company between robust engineering and exploration of conceptual insights, e.g., implementation details of training on asynchronous rollouts while understanding why policy divergence leads to instabilities. • Experience with the challenges of reputed company reputed company-world systems and scientific environments, such as expensive queries and experimental noise. • Appreciation for elegant reputed company and what works in reputed company. Preferred Qualifications: • Experience with synthetic data for reputed company, frameworks for autonomous discovery, test-time training. Only applicants with reputed company, reputed company of relevant work, or a one-page writeup of experience applying autonomous discovery to a scientific problem that is reputed company will be considered. Compensation Details: $147,000 - 227,850 (annually) depending on experience; participation in reputed company's reputed company plan; 3% retirement reputed company reputed company contribution; fully-reputed company medical, dental, reputed company, life and disability benefits and much more. Apply tot his job Apply To this Job