Top 4 Quantum state retrieval augmented generation large language Jobs

AI Research Scientist — Agentic AI for Materials Discovery
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- $184,000 - $257,000 a year
- Computer science
- Computer Science
- Bachelor's degree
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Adobe —San Jose, CA
- $209,900 - $432,450 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
Director of AI Platforms, Texas Institute for Electronics
University of Texas at Austin —Austin, TX
- Full-time
- Computer Science
- Bachelor of Science
- System design
- Paid holidays
- Disability insurance

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AI Research Scientist — Agentic AI for Materials Discovery

Meta -
Redmond, WA

Apply Now

Job Details

$184,000 - $257,000 a year

Qualifications

AI models
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Doctor of Philosophy
APIs
Machine learning libraries
Machine learning frameworks

Full Job Description

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.

AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:

Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
Build specialized AI sub-agents that operate within a closed-loop discovery framework
Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:

Experience building multi-agent or LLM-orchestrated systems for scientific applications
Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
Publications at peer-reviewed ML or domain conferences
Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
Experience with HPC job orchestration

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 [email protected].

$184,000/year to $257,000/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.

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quantum state retrieval augmented generation large language jobs

AI Research Scientist — Agentic AI for Materials Discovery

Chief Architect for Adobe Intelligence Platform

Director of AI Platforms, Texas Institute for Electronics

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