Research Engineer - AI for Chemistry
Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA
Meta
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Meta's Fundamental AI Research organization (FAIR) is developing AI-based methods to accelerate novel material discovery. In this position you will be joining the AI for Chemistry team doing this work. The material domains currently being worked on are electro-catalysts for CO2RR & OER, nano-porous materials for direct air capture, and new materials for display technologies.
You will be a researcher for AI modeling of crystalline materials. The role will be performed in close collaboration with computational and experimental chemists in Reality Labs Research and AI researchers in FAIR. You will be expected to provide technical leadership across large-scale ab-initio simulations, data generation and management for ML training, ML modeling, and applying ML models to material discovery.
The work being done will in some cases be published and open-sourced. This role may also be done jointly with various university academic collaborators. The aim of the work is to go end to end from computational discovery to productizing new materials, so you will have the opportunity to work across that entire lifecycle.
Research areas may include Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.Research Engineer - AI for Chemistry Responsibilities
$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
You will be a researcher for AI modeling of crystalline materials. The role will be performed in close collaboration with computational and experimental chemists in Reality Labs Research and AI researchers in FAIR. You will be expected to provide technical leadership across large-scale ab-initio simulations, data generation and management for ML training, ML modeling, and applying ML models to material discovery.
The work being done will in some cases be published and open-sourced. This role may also be done jointly with various university academic collaborators. The aim of the work is to go end to end from computational discovery to productizing new materials, so you will have the opportunity to work across that entire lifecycle.
Research areas may include Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.Research Engineer - AI for Chemistry Responsibilities
- Large scale distributed compute for applying AI to scientific applications in chemistry and material science.
- Developing, integrating and utilizing AI models in computational chemistry workflows.
- Developing or applying computational chemistry tools for dataset generation: DFT (VASP, ORCA, etc), DFPT (VASP, etc), GCMC, etc.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 1+ year of industry experience in Machine Learning, Graph Neural Networks, Graph learning, Density Functional Theory, Computational chemistry, Optics, or other similar fields.
- Research and engineering experience in Machine Learning or Artificial intelligence.
- Interest and experience with computational chemistry, material science, or scientific domains.
- Experience collaborating with partner teams.
- PhD in Computer Science, Materials Science, Machine Learning, or similar fields of study.
- Publications in machine learning
- Experience building very large ab-initio simulation datasets
- Experience testing and validating large AI/ML models for inorganic materials science
$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Categories:
Deep Learning Jobs
Engineering Jobs
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Tags: Chemistry Computer Science Engineering Machine Learning ML models PhD Physics Research Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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