Research Engineer - AI for Chemistry

Meta; New York (NY); On-site; USD 5,000 - 173,000; Full time

Job summary

An innovative firm is seeking a Research Engineer specializing in AI for Chemistry to join their cutting-edge team. This role involves leveraging AI to accelerate material discovery, focusing on areas like electro-catalysts and nano-porous materials. You will collaborate closely with computational and experimental chemists, providing technical leadership in large-scale simulations and machine learning applications. This position offers a unique opportunity to contribute to groundbreaking research and potentially publish findings, all while working in an environment that values creativity and collaboration. If you are passionate about AI and materials science, this position is perfect for you.

Qualifications

• 1+ year of industry experience in Machine Learning or related fields.
• Experience collaborating with partner teams in scientific domains.

Responsibilities

• Develop AI models for computational chemistry workflows.
• Apply AI to large-scale scientific applications in chemistry.

Skills

Machine Learning

Graph Neural Networks

Computational Chemistry

Density Functional Theory

Optics

Education

Bachelor's degree in Computer Science

PhD in Computer Science or Materials Science

Tools

VASP

ORCA

Job description

Join to apply for the Research Engineer - AI for Chemistry role at Meta

Join to apply for the Research Engineer - AI for Chemistry role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$56.25/yr - $173,000.00/yr

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:

• 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.
  
  

Minimum Qualifications:

• 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.
  
  

Preferred Qualifications:

• 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
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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