California Jobs
Machine Learning Engineer, AI/ML for Drug Discovery
California Jobs, San Francisco, California, United States, 94199
Overview
Machine Learning Engineer, AI/ML for Drug Discovery Join to apply for the Machine Learning Engineer, AI/ML for Drug Discovery role at Atomwise. This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources. About Atomwise
Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's AI discovery and optimization engine, which aims to find and optimize novel chemical matter to support first-in-class and best-in-class medicines. Atomwise has tested its discovery engine across hundreds of projects spanning diverse protein classes and hard-to-drug targets and is building a pipeline of small-molecule candidates in immunology. Responsibilities
Productionize novel deep learning tools for molecular property prediction, design and optimization, and virtual screening. Design and execute experiments to evaluate the performance of experimental models and optimize training and inference time/cost. Conduct in-depth analyses of model outputs and performance metrics to identify areas for improvement. Collaborate with cross-functional teams of software engineers, chemists and biologists to integrate ML models into drug discovery pipelines. Stay up-to-date with the latest advancements in machine learning and computational chemistry, and integrate them into Atomwise ML models. Maintain and extend scalable and efficient machine learning frameworks for at-scale use by drug discovery teams. Qualifications
Masters or higher in Computer Science, Machine Learning, Computational Chemistry, or a related field. Two or more years of industry experience in productionizing machine learning models for distributed training and inference. Proficiency in designing and implementing novel machine learning frameworks in PyTorch. Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. Experience with collaborative software engineering and developing high quality, maintainable, well-documented code in a large codebase. Experience with machine learning models of chemical systems is preferred. Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus. Compensation & Benefits
Competitive salary, commensurate with experience Stock compensation plan – you\'ll be an Atomwise co-owner Platinum health, dental, and vision benefits for you and your dependents 401(k) retirement plan with generous company match (up to 4%) Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees Health Savings and Flexible Spending Account options Employee Assistance Program (EAP) and Pet Insurance Funding for professional development and conference attendance Flexible work schedule Generous paid parental leave The base salary for this position is $175,000-$260,000. Pay is determined by multiple factors including location, experience and skills. Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. We encourage people of diverse backgrounds and perspectives to apply.
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Machine Learning Engineer, AI/ML for Drug Discovery Join to apply for the Machine Learning Engineer, AI/ML for Drug Discovery role at Atomwise. This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources. About Atomwise
Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's AI discovery and optimization engine, which aims to find and optimize novel chemical matter to support first-in-class and best-in-class medicines. Atomwise has tested its discovery engine across hundreds of projects spanning diverse protein classes and hard-to-drug targets and is building a pipeline of small-molecule candidates in immunology. Responsibilities
Productionize novel deep learning tools for molecular property prediction, design and optimization, and virtual screening. Design and execute experiments to evaluate the performance of experimental models and optimize training and inference time/cost. Conduct in-depth analyses of model outputs and performance metrics to identify areas for improvement. Collaborate with cross-functional teams of software engineers, chemists and biologists to integrate ML models into drug discovery pipelines. Stay up-to-date with the latest advancements in machine learning and computational chemistry, and integrate them into Atomwise ML models. Maintain and extend scalable and efficient machine learning frameworks for at-scale use by drug discovery teams. Qualifications
Masters or higher in Computer Science, Machine Learning, Computational Chemistry, or a related field. Two or more years of industry experience in productionizing machine learning models for distributed training and inference. Proficiency in designing and implementing novel machine learning frameworks in PyTorch. Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. Experience with collaborative software engineering and developing high quality, maintainable, well-documented code in a large codebase. Experience with machine learning models of chemical systems is preferred. Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus. Compensation & Benefits
Competitive salary, commensurate with experience Stock compensation plan – you\'ll be an Atomwise co-owner Platinum health, dental, and vision benefits for you and your dependents 401(k) retirement plan with generous company match (up to 4%) Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees Health Savings and Flexible Spending Account options Employee Assistance Program (EAP) and Pet Insurance Funding for professional development and conference attendance Flexible work schedule Generous paid parental leave The base salary for this position is $175,000-$260,000. Pay is determined by multiple factors including location, experience and skills. Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. We encourage people of diverse backgrounds and perspectives to apply.
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