Research Scientist, AI Research Job at Meta (Paris)

Ai Research Scientist — Agentic Ai For Materials Discovery

This role sits within Meta's Reality Labs Research, in the Material and Systems ...

Location

United States , Redmond

Salary:

184000.00 - 257000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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)

What we offer

bonus
equity
benefits

Fulltime

Ai Research Scientist —Generative Ai For Materials Discovery

Location

United States , Redmond

Salary:

154000.00 - 217000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Ph.D. degree in Machine Learning, Computational Chemistry, Materials Science, Chemical Engineering, Physics, or a closely related technical field
3+ years of research experience in generative modeling applied to molecular systems, crystal structures, or materials science (academic or industry)
Familiarity with large-scale molecular and crystal databases and data processing pipelines for chemical data
Demonstrated expertise in deep generative models — including diffusion models, flow matching / continuous normalizing flows, variational autoencoders, or autoregressive models — with applications to 3D molecular or crystal structure generation
Programming proficiency in Python with hands-on experience in PyTorch or JAX
proficiency in building, training, and evaluating large-scale deep learning models
Track record of first-author publications in top-tier ML or computational chemistry venues (e.g., NeurIPS, ICML, ICLR, JACS, Nature Computational Science, Digital Discovery)
Solid understanding of crystallography fundamentals— and molecular representations (molecular graphs, SMILES, 3D conformers)

Job Responsibility

Develop, train, and deploy generative models (diffusion models, flow matching, variational autoencoders, transformer-based architectures) for molecular and crystal structure generation, property-conditioned design, and crystal structure prediction (CSP)
Design and implement reinforcement learning and alignment strategies (e.g., physics-informed reward signals from machine-learned interatomic potentials) to steer generative models toward physically stable and synthesizable candidates
Build foundational models and scalable pretraining pipelines that unify generative and predictive learning across molecules and crystalline materials, handling both discrete atom types and continuous 3D geometries
Collaborate closely with computational chemists to integrate first-principles calculations (DFT, force fields), molecular dynamics simulations, and domain-specific constraints into generative workflows
Partner with AI agent scientists to embed generative molecular design capabilities into LLM-based multi-agent systems, enabling closed-loop autonomous experiment planning, candidate generation, and decision making
Curate, preprocess, and manage large-scale molecular and crystal structure datasets for model training and benchmarking
Establish rigorous evaluation frameworks — measuring validity, novelty, uniqueness, stability, and synthesizability of generated structures — and benchmark against state-of-the-art methods
Contribute to the architecture and roadmap of the autonomous materials-discovery platform, ensuring generative design modules interface seamlessly with robotic workcells, characterization instruments, and data infrastructure

What we offer

bonus + equity + benefits

Fulltime

AI Research Scientist - Voice AI Team, Meta Superintelligence Labs

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park, CA +2 locations

Salary:

184000.00 - 257000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree in Computer Science, Mathematics, or similar quantitative field
2+ years of post-PhD experience in an academic, industry, or government laboratory setting, with primary responsibilities focused on AI research
Proven track record of publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g., pytorch, tensorflow)
Experience communicating complex research to public audiences of peers

Job Responsibility

Lead, collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
Help identify long-term research goals as well as intermediate milestones
Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta's conversational AI / product experiences

What we offer

bonus
equity
benefits

AI Research Scientist, MRS AI (PhD)

The AI Research Scientist role conducts cutting-edge research and develops advan...

Location

United States , Menlo Park

Salary:

122000.00 - 181000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

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
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Collaborate, and execute on research that pushes forward the state of the art in large language model research
Directly contribute to experiments, including designing experimental details, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Help identify long-term research goals as well as intermediate milestones
Prioritize research that can be applied to Meta's product development

What we offer

bonus
equity
benefits

AI Research Scientist - Voice AI Team

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park

Salary:

154000.00 - 217000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD degree in Computer Science, Mathematics, or similar quantitative field
Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
Experience to communicate complex research for public audiences of peers

Job Responsibility

Collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
Help identify long-term research goals as well as intermediate milestones
Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta’s conversational AI / product experiences

What we offer

bonus
equity
benefits

Research Scientist Intern, AI Research - Multimodal Pretraining

Meta is seeking Research Scientist Interns in the multimodal pretraining team in...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Computer Vision, Artificial Intelligence, or relevant technical field
Past projects/publications in the general domain of neural scaling laws, model architectures, image/text modeling, vision-language modeling
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Experience in PyTorch, Triton, or other related programming languages
Experience building systems based on machine learning and/or deep learning methods

Job Responsibility

Perform research to advance the frontiers of multimodal (images, video, text, audio, and other modalities) pretraining, to develop the next generation of multimodal architectures
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
Publish research results and contribute to research that can be applied to Meta product development

Research Scientist Intern, AI Research - Speech & Audio

Meta AI is currently seeking Research Scientist interns. Our team creates spoken...

Location

United States , Bellevue

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field
Research and/or work experience in machine learning, deep learning, and speech technology
Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc
Experience in Python
Experience in deep learning frameworks (PyTorch, Tensorflow, etc)
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Perform research to advance the science and technology of intelligent machines
Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources
Contribute research that can be applied to Meta product development
Analyze and improve efficiency, scalability, and stability of various deployed systems
Collaborate with team members from prototyping to production

Research Scientist Intern, AI Research - CoreML - World Models

Meta is seeking Research Interns to join the SAM team in the Multimedia Percepti...

Location

United States , Menlo Park

Salary:

7650.00 - 12134.00 USD / Month

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, a PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field
Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas
Research and/or work experience in Machine Learning or Deep Learning with applications to perception
Experience in Python, C++, or other related languages
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Perform research to advance the science and technology of generative AI
Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio)
Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
Contribute to ongoing research projects and impactful technology releases
Draft and polish research publications
Present research outcomes to internal and/or external audiences

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Research Scientist, AI Research

Job Description

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