CrawlJobs Logo

Research Scientist, World Models & Embodied AI

meta.com Logo

Meta

Location Icon

Location:
United Kingdom , London

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

The Surreal Spatial AI group is seeking high-performing Research Scientists to build machine perception technology allowing AI agents, and systems to perceive, understand, and reason about the 3D world around them. The aim of this role is to develop advanced algorithms for active perception and intelligent interaction. You will investigate novel architectures combining World Models, data-driven control, and Machine Perception for real-time applications. Leveraging data from egocentric devices (Project Aria) and robotic platforms, your work will span the full stack—from high-fidelity 3D understanding to the predictive modeling of dynamics and actions—empowering agents to reason about and manipulate their surroundings.

Job Responsibility:

  • Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, embodied reasoning, and/or predictive world modeling
  • Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results
  • Work with the team to design practical experiments and prototype systems related to dynamic scene modeling, long-horizon reasoning, and machine perception
  • Contribute to publications and open-sourcing efforts
  • Help identify long-term ambitious research goals as well as intermediate milestones

Requirements:

  • Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Robotics, AI, Computer Science, a related field, or equivalent practical experience
  • Experience communicating research for public audiences of peers
  • Experience with real-world system building and data collection, including design, coding, and evaluation with modern ML methods
  • Research experience involving 3D Computer Vision, Deep Learning, or Reinforcement Learning—specifically related to scene understanding, generative modeling, autonomous agents, or robotic control
  • Experience in developing and debugging in C/C++, Python, or Rust
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Nice to have:

  • Hands-on experience implementing 3D computer vision algorithms and training/evaluating large-scale ML/AI models
  • Familiarity with Reinforcement Learning (RL), VLAs, control theory, or learning-based planning
  • Experience bridging the gap between perception and action (e.g., Active Vision, Embodied AI, Inverse RL, or RLHF)
  • Experience with physics simulators or synthetic environments (e.g., Habitat, MuJoCo, Isaac Lab)
  • Experience working in a Unix environment
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as CVPR, CoRL, ICRA, RSS, NeurIPS, ECCV, ICCV, IROS, or similar

Additional Information:

Job Posted:
January 29, 2026

Icon
Meta - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Scientist, World Models & Embodied AI

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • 1+ years of experience with generative AI OR LLM/ML algorithms
  • 1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Bringing the State of the Art to Products
  • Build collaborative relationships with product and business groups to deliver AI-driven impact
  • Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • Fine-tune foundation models using domain-specific datasets
  • Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis
  • Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps
  • Contribute to papers, patents, and conference presentations
  • Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs
  • Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts
  • Leveraging Research in real-world problems
  • Fulltime
Read More
Arrow Right

AI Research Scientist, Robotics

At Meta, we’re building the future of human connection and the technology that e...
Location
Location
United States , Redmond
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models
  • 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
Job Responsibility
Job Responsibility
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionality needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Lead, plan, and execute novel research based on long-term objectives of the organization
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Software Engineer (Robotics)

To continue our efforts in the path to AGI, and as we move closer to a future wi...
Location
Location
United States , Redmond
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience in robotics or related field, or advanced degree with equivalent experience
  • Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI
  • Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
  • Proficiency in programming languages such as Python, C++, or similar
Job Responsibility
Job Responsibility
  • Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
  • Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
  • Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
  • Effectively communicate complex features and systems in detail to diverse stakeholders
  • Publish research results and contribute to research that impacts Meta product development
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist, Robotics

The ideal Research Scientist candidate will use their skills in system design an...
Location
Location
United States , Redmond
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
  • Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
Job Responsibility
Job Responsibility
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionalities needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Plan and execute novel research based on long-term objectives of the organization
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Software Engineer (Robotics)

At Meta, we’re building the future of human connection and the technology that e...
Location
Location
United States , Redmond
Salary
Salary:
257000.00 USD / Year ▼
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience in robotics or related field, or advanced degree with equivalent experience
  • Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
  • Proficiency in programming languages such as Python, C++, or similar
Job Responsibility
Job Responsibility
  • Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
  • Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
  • Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
  • Effectively communicate complex features and systems in detail to wide-ranging stakeholders
  • Publish research results and contribute to research that impacts Meta product development
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Principal Applied Scientist

We are looking for a Principal Applied Scientist for our team that creates the f...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Conduct applied research to develop innovative AI and machine learning models that address real-world challenges
  • Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring
  • Create and adapt novel training and fine-tuning algorithms for language models
  • Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems
  • Operate and support 24X7 usage of AI Models by customers
  • Document and share best practices across the organization
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Applied Scientist

Microsoft Cloud Operations and Innovation (CO+I) underpins Microsoft’s global cl...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  • Experience with Azure technology Stack
  • Experience with parameter‑efficient fine‑tuning techniques (e.g., LoRA) for LLMs or multimodal models.
  • Hands‑on experience building agentic or tool‑augmented LLM systems, including function calling, planners, and API/tool integration.
  • Experience with advanced RAG architectures, such as hybrid retrieval, reranking, grounding, and citation strategies.
  • Strong AIOps depth, including quality drift detection, alerting, rollback, and telemetry‑driven optimization.
  • Experience optimizing systems for latency, reliability, scalability, and cost efficiency at enterprise scale.
  • Prior experience working on mission‑critical or large‑scale enterprise AI systems.
  • Demonstrated mentorship or technical leadership within applied science or engineering teams.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Job Responsibility
Job Responsibility
  • Advance Applied AI Research to Improve Quality and Reliability
  • Apply deep expertise in Generative AI, deep learning, NLP, and multimodal models to translate cutting-edge research into high-impact, production-ready AI solutions.
  • Design and execute experiments that measurably improve agent planning, memory, grounding, reasoning, and long‑horizon task completion.
  • Perform lightweight fine‑tuning (e.g., LoRA and related techniques) on multimodal and large multimodal language models—to improve entity recognition, reasoning accuracy, and response quality.
  • Implement state‑of‑the‑art approaches using foundation models, advanced prompt engineering, RAG, knowledge graphs, and multi‑agent architectures, complemented by classical ML techniques where appropriate.
  • Build and Ship Scalable Agentic AI Systems
  • Architect and implement end‑to‑end agent workflows that decompose user intent into executable plans, intelligently select and invoke tools, and recover gracefully from errors and edge cases.
  • Rapidly prototype solutions and partner with engineering teams to drive production deployment, including debugging live systems and building AIOps workflows.
  • Use data and telemetry to identify AI quality gaps, generate insights, and deliver proofs of concept that apply research innovations to real‑world operational challenges.
  • Design robust multi‑step reasoning and tool‑use strategies, including function calling, code execution, APIs, and secure connectors, with strong safety and reliability guardrails.
  • Fulltime
Read More
Arrow Right

Research Scientist: Post-Training

Pretraining gives us a general model. Post-training makes it useful, controllabl...
Location
Location
United States , San Mateo; Somerville
Salary
Salary:
200000.00 - 350000.00 USD / Year
generalistai.com Logo
Generalist AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience with fine-tuning large models for downstream tasks (RLHF, IL, RL, distillation, domain adaptation, etc.)
  • Worked on embodied AI, robotics, or real-world ML systems
  • Care deeply about evaluation, benchmarking, and failure analysis
  • Comfortable debugging across the ML stack — from loss curves to robot behavior
  • Enjoy rapid iteration with real-world feedback loops
  • Want to bridge the gap between foundation models and physical deployment
Job Responsibility
Job Responsibility
  • Designing fine-tuning and adaptation strategies for downstream robotic tasks and embodiments
  • Developing methods for improving reliability, robustness, and controllability
  • Building evaluation frameworks that measure real-world robot performance, not just offline metrics
  • Improving inference-time performance (latency, stability, memory footprint) in collaboration with ML infrastructure
  • Leveraging techniques such as imitation learning, RL, distillation, synthetic data, and curriculum learning
  • Closing the loop between model outputs and physical-world outcomes
What we offer
What we offer
  • Offers Equity
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy