AI Research Scientist Job at Meta (Menlo Park)

AI Research Scientist

Come join the company that is reinventing cloud security and empowering business...

Location

Israel , Tel Aviv

Salary:

Not provided

Wiz

Expiration Date

Until further notice

Requirements

An M.Sc. degree in computer science, statistics, or a related field is a must
a Ph.D. degree is an advantage
At least 3 peer-reviewed publications in reputable academic journals or conferences
5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity
Experience and hands-on familiarity with distributed cloud systems
Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs
Knowledge of programming languages that are used in AI research—like Python—and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems
Excellent communication (both written and verbal) and presentation skills
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship

Job Responsibility

Develop and research novel AI models, focusing on transformers and deep learning
Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for Wiz products
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions’ accuracy, efficiency, and scalability
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR

AI Research Scientist

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) ...

Location

Israel , Tel Aviv

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Experience working with SOTA RL codebases and familiarity with one or more deep learning frameworks (e.g. pytorch, VERL, …)
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration

AI Research Scientist

We’re looking for an AI Research Scientist to join our AI Research Team in Milan...

Location

Italy , Milan

Salary:

50000.00 - 80000.00 EUR / Year

iGenius

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience
At least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD
Proven record of contributing to AI publications, highlighting a keen understanding of cutting-edge research
Expertise in generative modeling, including autoregressive transformers, diffusion models, or VAEs
Expertise in reinforcement learning, particularly RLHF, multi-agent systems, or reward modeling
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX)
Deep understanding of experimental design, statistical significance testing, and large-scale A/B experimentation
Fluent in English

Job Responsibility

Push the boundaries of artificial intelligence, driving fundamental advancements in generative modeling, reinforcement learning, and multimodal reasoning
Shape the future of AI, leading groundbreaking research and translating insights into real-world impact

What we offer

Learning Friday with a training budget for books, online courses or other training materials
Smart Working (work from home)
Competitive salary topped up with other bonuses
Opportunity to receive company equity

Fulltime

AI Research Scientist

We are seeking AI Researchers to join the Product and Applied Research (PAR) Med...

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
Has obtained a PhD in Computer Science, AI/ML, or a relevant technical field
1+ year of industry research experience in LLM/NLP, computer vision, or related AI/ML models
Experience owning and/or driving complex technical projects from end-to-end
Skilled in model training, data, or inference & efficiency for image, video, and/or related multimodal models
Proficient in media generation, understanding, and/or grounding
Programming experience in Python and hands-on experience with frameworks like PyTorch or Spark
Demonstrated significant industry influence in the field of AI and/or recently published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

Job Responsibility

Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development

What we offer

bonus
equity
benefits

Fulltime

Research Scientist, AI Research

We are doing research on deep learning research related to memory that would be ...

Location

France , Paris

Salary:

Not provided

Meta

Expiration Date

Until further notice

Requirements

PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning, robotics, large language models and/or computer vision
Proven development skills in Deep Learning, working with PyTorch or TensorFlow
Experience developing LLM algorithms or infrastructure in Python or C/C++

Job Responsibility

Conduct research to advance the state of the art in architecture and memory related topics
Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes
Collaborate with different cross-functional teams across the globe in research and product

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

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