Research Scientist Robotics Systems jobs at Facebook in United States, Redmond

AI Research Scientist, Robotics Responsibilities

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

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

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience working with robot simulations and real-world hardware

Experience working and communicating cross functionally in a team environment

2+ years of industry experience in relevant robotics related research areas, such as: 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

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Experience building systems based on machine learning and/or deep learning methods

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python

$147,000/year to $208,000/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 at Meta.

Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals. Lead electrical architecture definition or provide technical leadership to a larger development team. Design...

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20.08.2025

Facebook Electrical Engineer - Robotics Research United States, Washington, Redmond

Electrical Engineer - Robotics Research Responsibilities

Own electrical development of highly complex systems delivering and ensuring that electrical systems achieve product goals

Lead electrical architecture definition or provide technical leadership to a larger development team

Design schematics, direct board layout, lead cross-functional design reviews and draft design documentations

Conduct feasibility studies and analysis to evaluate new technologies and components. Propose innovative solutions to enhance product performance and features

Manage bring up and debug, support manufacturing and assembly build

Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across electronics, mechanics, optics, sensors, haptics, firmware and software

Work in distributed team environment

Contribute to building and sustaining internal community through recruitment and mentorship

Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts

Travel both domestically and internationally

8+ years of industry experience in electrical design

BS in Electrical Engineering or Computer Engineering, or equivalent industry experience

Proven knowledge of electrical engineering fundamentals

Experience with schematic and board design using Cadence OrCAD, Altium or equivalent

Experience with use of oscilloscopes, high speed digital test equipment, logic analyzers, or function generators

Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC (System on Chip) and PMIC (Power Management Integrated Circuit) or Battery Management System

Experience leading technical teams, cross-functional groups and vendors against project plans

MS or PHD in Electrical Engineering or Computer Engineering

Experience with high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS

Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods

Experience with camera systems

Experience with new technology development

Experience with advanced consumer device packaging techniques

Experience programming in languages like Python or C/C++

$170,000/year to $240,000/year + bonus + equity + benefits

Conduct research advancing novel robotics design and development, including new components and/or processes that guide toward production-ready systems. Drive the Robotics roadmap, exploring forward-looking ways to accelerate novel robotic architectures....

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22.05.2025

Facebook Research Scientist Robotics Systems United States, Washington, Redmond

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.

Research Scientist, Robotics Systems Responsibilities

Conduct research advancing novel robotics design and development, including new components and/or processes that guide toward production-ready systems.

Drive the Robotics roadmap, exploring forward-looking ways to accelerate novel robotic architectures.

Design and Development: research mechanical and electrical design and analysis problems for robotics structure, new sensors, mechanisms, power transmissions, communication hardware/firmware and systems integration while balancing ergonomics, performance, reliability.

Research and design planning and control algorithms for executing actions to motors integrating sensors and actuations, frequently interacting with the Large Model (VLM/VLA) AI team and Mechatronics team.

Perform experiments of real and simulation robotic systems and debug the supporting parts manufacture, working with internal and external partners to support part fabrication and complex custom sub assembly.

Assembly of robot: hands-on partnership in the lab integrating research with construction of sub-assemblies into full system-level robot prototypes.

Failure analysis: build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions.

Develop novel mechanical contact sensors and research to understand the mechanics of materials.

Develop novel non-contact sensors and research to understand the underlying physics behind the sensors.

Develop communication hardware and firmware software.

Research and develop characterization/training sensors and calibration.

Research and design feedback controllers around the sensors and actuators.

Research and develop a planning algorithm that involves perception and collision avoidance.

Research and design feedback controllers around the sensors.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

PhD degree or equivalent experience in Robotics, Physical AI, or a similar field.

5+ years experience in Robotics, Electro-Mechanical Design, Sensor & Communications, or a similar field.

Experience designing complex electromechanical assemblies (robotics, automotive, aerospace, industrial automation or a similar domain).

Experience with Robotics and consumer electronic product design.

Experience with more than one of the following: motor design and control, digital control theory, optimization algorithms, feedback control algorithms, chip-level sensor design, gear-ratio optimization, dynamic system ID and machine learning.

Experience with organizational and analytical skills, driving technical strategy and execution in a fast-paced, high ambiguity environment.

Experience with manufacturing processes and materials.

Experience in developing power electronics components for robotics systems (battery, power management circuit, and motor driver - field oriented control).

Experience with SOLIDWORKS, Siemens NX or similar CAD tools.

Experience in Convex Optimization tools and theories.

Experience in Machine Learning tools.

Proficient in C++ or Python programming.

Extensive knowledge of traditional mass production manufacturing processes, including the potentials and limitations of injection molding, metal injection molding, CNC, sheet metal, elastomer compression molding, die casting, thixomolding, multi-layer board fabrication, surface mount technology, and/or flexible printed circuit fabrication.

Experience with automation equipment design and custom machine builds.

Experience in statistical process control.

Experience working in CM, JDM, and ODM/OEM development models.

Experience with simulation tools conducting Finite element analysis: Structural, Modal.

Experience collaborating closely with a cross-functional team of scientists & engineers to deliver technical solutions to novel problems, communicating and collaborating across disciplines.

$177,000/year to $251,000/year + bonus + equity + benefits

Be a leader in our efforts to understand and synthesize speech, translate between languages, and/ or extract intents, concepts, or other relevant features from speech and link them to downstream...

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17.04.2025

Facebook AI Research Scientist Language - Reality Labs United States, Washington, Redmond

The Wearables Voice AI team supports speech-based interaction on wearable devices for on-line and on-device scenarios. As a Research Scientist in Wearables Voice AI, you will have the opportunity to perform ground-breaking research to advance the device-driven AI Assistant effort at Meta – e.g. RayBan Smart Glasses and future Wearable devices. You will build state-of-the-art LLMs, optimize them for natural voice interaction on our unique hardware (multiple microphones, other sensors, on-device inference, etc), deliver knowledge-grounded, actionable, personalized AI through a unique voice user interface. You will collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and translate this into products.

AI Research Scientist, Language - Reality Labs Responsibilities

Be a leader in our efforts to understand and synthesize speech, translate between languages, and/ or extract intents, concepts, or other relevant features from speech and link them to downstream tasks.

Independently design and implement algorithms, train state of the art models on large data, and optimize their performance together with our team and partners.

Perform research to tackle unsolved real-world problems and advance state of the art research by developing internal tests and mapping them to external benchmarks.

Develop machine learning models for both server-based and embedded systems.

Contribute research that can be applied to Meta product development. Publish it.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Has PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.

3+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in speech recognition, speech synthesis, natural language understanding, machine learning, deep learning, or related fields.

Experience with development and implementation of speech recognition algorithm/ systems and model training, including LLMs.

Experience working with machine learning libraries like Pytorch, Tensorflow, etc.

Familiar with scripting languages such as Python and shell scripts.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Experience with developing scalable machine learning models in at least one of the following areas: automatic speech recognition, speech synthesis, LLM, or relevant areas.

Experience with large scale model training, implementing algorithms, and evaluating speech-based systems.

Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, or similar.

Experience taking ideas from research to production.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Experience working and communicating cross functionally in a team environment

$147,000/year to $208,000/year + bonus + equity + benefits

Design methods, tools, and infrastructure to push forward the state of the art in large language models. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing...

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16.04.2025

Facebook Research Engineer - Conversational AI Reality Labs United States, Washington, Redmond

Research Engineer - Conversational AI - Reality Labs Responsibilities

Design methods, tools, and infrastructure to push forward the state of the art in large language models.

Define research goals informed by practical engineering concerns.

Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Work with a large and globally distributed team.

Contribute to publications and open-sourcing efforts.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Research experience in machine learning, deep learning, and/or natural language processing.

Experience with developing machine learning models at scale from inception to business impact.

Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Exposure to architectural patterns of large scale software applications.

Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

A PhD in AI, computer science, data science, or related technical fields.

Direct experience in generative AI and LLM research.

First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

$70.67/hour to $208,000/year + bonus + equity + benefits

Research, design, and develop advanced signal processing algorithms with application to speech and audio. Define and build new algorithms and add enhancements to existing algorithms to support human listening, machine...

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16.04.2025

Facebook Software Engineer Audio Applied Scientist United States, Washington, Redmond

As an Audio Applied Scientist at Meta, you can help build new, innovative technologies and software that radically redefine the way people work, play and connect and especially how they hear the virtual and augmented world or interact with GenAI bots. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We may not have all the answers. But together, we're getting closer.

Software Engineer, Audio Applied Scientist Responsibilities

Research, design, and develop advanced signal processing algorithms with application to speech and audio

Define and build new algorithms and add enhancements to existing algorithms to support human listening, machine listening, and other new experiences for communications

Build specialized Machine Learning (ML) for resource constrained platforms (e.g., mobile/wearables). Explore new paradigms in AI and Machine learning

Hands on with implementation and optimization of algorithms classical DSP and ML inference engines

Contribute to roadmap planning for the next generation of platforms.

Collaborate with other researchers/scientists, engineers, cross-functional partners from multiple disciplines

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Solid understanding in fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML)

5+ years software development experience in industry settings

3+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings

Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams.

Experience with C or C++ and with scientific programming languages such as MATLAB, Python or similar.

Experience in any of the following areas: Small footprint ML, Differential DSP, Echo/Noise reduction, Spatial Processing, Hearing Aids.

MS or PhD in Electrical Engineering, Computer Science or equivalent.

Expertise in audio signal processing both classical and machine learning techniques.

Proven track record of innovation as demonstrated by products shipped, publications and/or patents.

Excellence in technical communication with peers, partners, and non-technical cohorts.

Experience developing GenAI systems.

$70.67/hour to $208,000/year + bonus + equity + benefits

Develop, implement, and evaluate methods for learning robust representations from multi-modal egocentric data (e.g., video, audio, inertial measurement units). Make use of Meta’s large infrastructure to scale and speed up...

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15.04.2025

Facebook Research Scientist Intern AI Egocentric Representation Learn... United States, Washington, Redmond

Work with researchers to help enable their work across the following research disciplines: - AI for Egocentric Representation Learning - Multimodal Learning Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.

Research Scientist Intern, AI for Egocentric Representation Learning (PhD) Responsibilities

Develop, implement, and evaluate methods for learning robust representations from multi-modal egocentric data (e.g., video, audio, inertial measurement units).

Make use of Meta’s large infrastructure to scale and speed up experimentation.

Write modular research code that can be reused in other contexts.

Collaborate with other researchers.

Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale.

The work should result in publishable research to appear in a top-tier ML or CV conference (e.g., NeurIPS, ICLR, CVPR, ECCV).

Currently has or is in the process of pursuing a PhD in machine learning, computer vision, speech processing, applied statistics, computational neuroscience, or relevant technical field.

Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.

Proficiency in python and machine learning libraries (numpy, scikit-learn, scipy, pandas, matplotlib, tensorflow, pytorch).

Deep understanding of at least one of the following areas: Transfer, few-shot, zero-shot, continual and/or online learning, self-supervised learning, or multi- or cross-modal learning.

Interpersonal skills: cross-group collaboration and cross-culture collaboration.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CHI, UIST, IMWUT, CVPR, ICCV, ECCV, AAAI, ICRA, SIGGRAPH, ETRA, or similar.

Experience with deep metric learning / neural net embedding methods.

Experience on vision based input recognition systems, such as hand tracking, body pose estimation.

Experience on working with time sequence form sensor data, such as IMU and audio.

Experience working and communicating cross functionally in a team environment.

Intent to return to degree program after the completion of the internship/co-op.

Availability for minimum 16 consecutive week internship.

$7,800/month to $11,293/month + benefits

FacebookAI Research Scientist Robotics

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1 2

United States, Washington, Redmond

633163424

04.09.2025

Description:

AI Research Scientist, Robotics Responsibilities

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

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

Experience working with robot simulations and real-world hardware

Experience working and communicating cross functionally in a team environment

Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Experience building systems based on machine learning and/or deep learning methods

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python

About Meta

$147,000/year to $208,000/year + bonus + equity + benefits