Ux Research Scientist Reality Labs Phd jobs at Facebook

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

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

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.

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining,...

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Facebook Data Scientist Analytics United States, California

Data Scientist, Analytics Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Physics, Applied Sciences, or a related field and 60 months of progressive, post-baccalaureate experience in the job offered or in a Data Science-related occupation. Requires 60 months of progressive, post-baccalaureate experience in the following:

1. Machine learning techniques

2. Working with large data sets and network-based data, including TCP or HTTP

3. ETL (Extract, Transform, Load) processes

4. Relational databases, including SQL or PL*SQL

5. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata

6. Large scale data processing infrastructures using distributed systems, including Hadoop, Hive, MapReduce, or MPI

7. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics

8. Communicating and presenting results of data analyses

$218,723/year to $235,400/year + bonus + equity + benefits

Conduct pioneering research and develop novel Generative AI models, focusing on image restoration tasks such as image and video super-resolution, denoising, deblurring, or frame interpolation. Publish research findings in top-tier...

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04.09.2025

Facebook Research Scientist - Generative AI Computational Photography... United States, California

Research Scientist - Generative AI Computational Photography, Reality Labs Responsibilities

Conduct pioneering research and develop novel Generative AI models, focusing on image restoration tasks such as image and video super-resolution, denoising, deblurring, or frame interpolation

Publish research findings in top-tier journals and present at leading international conferences

Collaborate with cross-functional teams throughout the project lifecycle, from initial research to prototyping and deployment

Work closely with product partners to integrate research outcomes into Meta's products, enhancing user experiences

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

PhD in Computer Vision, Machine Learning, or a related field, with a focus on Generative AI and image restoration

Advanced background in designing machine learning algorithms, including experience with training and inference of novel ML architectures

Proven experience in cross-functional collaboration and teamwork

Preferred Qualifications

Experience as a software engineer through internships, work experience, coding competitions, or contributions to widely used open-source repositories (e.g., GitHub)

Demonstrated success in achieving significant research outcomes, evidenced by grants, fellowships, patents, and first-authored publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, or SIGGRAPH

Solid mathematical foundation and understanding of numerical optimization, linear algebra, and probabilistic estimation

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

Manage all FP&A activities related to Logistics, CS, Warranty and other COGS (Cost of Goods Sold) items for a growing portfolio of RL devices including budgeting, forecasting and long-range planning....

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03.09.2025

Facebook Finance Associate Reality Labs United States, California, Sunnyvale

In this role, you will own some key operational costs such as Logistics, Customer Service (CS) and Warranty across both existing and new programs spanning across our Metaverse and Wearables portfolio of Reality Labs. You will get the opportunity to directly lead and influence key stakeholders, assess financial performance and create tremendous impact by continuous process improvement and executing cost savings initiatives. In addition to this, you will also provide analytical support to the team on high visibility and high impact projects.

Finance Associate, Reality Labs Responsibilities

Manage all FP&A activities related to Logistics, CS, Warranty and other COGS (Cost of Goods Sold) items for a growing portfolio of RL devices including budgeting, forecasting and long-range planning

Provide hands-on analytical support and develop actionable insights throughout the planning cycles and in monthly reviews, as well as for setting cost targets for new programs

Understand, impact, and influence business investment decisions through detailed financial analysis

Understand dive into critical cost savings opportunities and long-term strategic implications of agreements

Own ad hoc strategic and operational projects as required, and drive process and system improvements by partnering with cross functional owners

Develop and enforce best practices and policies to manage these costs

Drive data-driven decision making & analysis of product decisions and strategic roadmap investments

Create business partnerships with various functions across the Reality Labs (RL)

Provide insights to business partners through variance analysis, scenario based modeling and other analytical support as needed

Bachelor's degree in Finance, Economics or equivalent

4+ years of financial analysis experience

Experience with FP&A activities especially around monthly close and forecast processes

Experience developing analytical frameworks and communicating financial concepts to leadership

Experience partnering with and influencing cross-functional leaders

Experience working with leadership, manage ambiguity and multiple high priority projects in a fast-paced environment

Preferred Qualifications

MBA

Experience with managing and/or owning costs around inbound and outbound freight

Experience in understanding and assessing freight agreements from multiple providers and international freight costs/process

Understanding of hardware manufacturing process

Experience of data modeling, scenario analysis and adept at using systems such as EPM and Essbase

$92,000/year to $135,000/year + bonus + equity + benefits

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer andbusiness products. Mine...

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03.09.2025

Facebook Data Scientist United States, California

Data Scientist Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer andbusiness products.

Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.

Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.

Building models of user behaviors for analysis or to power production systems.

Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

Design and implement dashboards and reports that track key business metrics and provide actionable insights.

Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.

Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.

Requires a Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field

Completion of one graduate-level course, one research project, or one internship involving the following skills:

1. Machine learning techniques

2. Developing in scripting language: PHP, Python, or Perl

3. Statistical analysis using R, MATLAB, SPSS, SAS, or Stata

4. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)

5. Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics

$209,720/year to $235,400/year + bonus + equity + benefits

Manage cross-functional IT project teams to lead the ideation, development and launch of technologies and processes to support our data center supply chain and logistics. Manage multiple business analytics projects...

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03.09.2025

Facebook Data Scientist United States, California, Burlingame

Program Manager, Logistics Engineering Responsibilities

Manage cross-functional IT project teams to lead the ideation, development and launch of technologies and processes to support our data center supply chain and logistics.

Manage multiple business analytics projects through prioritization, planning, scheduling, reporting and influencing.

Identify ways in which new technologies can provide new functionalities and better user experiences.

Gather and prioritize stakeholders’ requirements to build, maintain and implement roadmaps.

Work with systems analysts and software engineers to automate key processes, fix gaps, and build reporting capabilities.

Contribute to strategic decisions with the product and executive teams.

Bachelor's degree in Computer Science, Information Technology or a related field and 60 months of experience in progressive, post-baccalaureate experience in the job offered or in a computer-related occupation. Foreign equivalent accepted

Requires 60 months of progressive, post-baccalaureate experience involving the following:

1. Industrial engineering, supply chain management, and/or information systems

2. Supply chain and logistics functions, including material planning, asset management, inventory management, and transportation

3. Handling program manager responsibilities including prioritization, planning, scheduling, and status reporting

4. Agile methodologies and technical understanding of and experience with developing relationships with software engineering/IT teams

5. Spreadsheet modeling and database capabilities and

6. Gathering and analyzing data/information to address complex problems

$192,044/year to $213,400/year + bonus + equity + benefits

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of company products. Apply expertise in quantitative analysis, data mining, and the presentation of...

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20.08.2025

Facebook Data Scientist Analytics United States, Washington

Data Scientist, Analytics Responsibilities

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of company products.

Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.

Partner with Product andEngineering Teams to solve problems and identify trends and opportunities.

Inform, influence, support, and execute our product decisions and product launches.

May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.

Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.

Exercise judgment within defined procedures and practices to determine appropriate action.

Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Data Science, Analytics, Statistics, Mathematics, or a related field and one year of work experience in the job offered or in a related occupation

Requires one year of experience in the following skills:

1. Performing quantitative analysis including data mining on highly complex data sets

2. Data querying language(s) including SQL

3. Scripting language(s) including Python

4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

5. Machine learning techniques

6. ETL (Extract, Transform, Load) processes

7. Relational databases

8. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

$183,660/year to $196,900/year + bonus + equity + benefits

FacebookAI Research Scientist Robotics

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1 2 3 4 5 6

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