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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,...

Facebook AI Research Scientist Robotics United States, Washington, Redmond

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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.

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Plan, direct, and coordinate activities and proactively drive the vision for Bl and Data Warehousing across a product vertical. Build a high-quality Bl and Data Warehousing team and design the...

Facebook Data Engineering Manager United States, California, Burlingame

Data Engineering Manager Responsibilities

Plan, direct, and coordinate activities and proactively drive the vision for Bl and Data Warehousing across a product vertical.

Build a high-quality Bl and Data Warehousing team and design the team to scale.

Manage data warehouse plans across a product vertical.

Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

Drive the design, building, and launching of new data models and data pipelines in production.

Manage development of data resources and support new product launches.

Drive data quality across the product vertical and related business areas.

Manage the delivery of high impact dashboards and data visualizations.

Define and manage SLA's for all data sets and processes running in production.

Requires a Master's degree (or foreign equivalent) in Computer Science, Information Systems Management, or a related technical field and 96 months of experience in the job offered or in a related occupation. Requires 96 months of experience involving the following:

1. Scaling and managing 5 person teams

2. Project Management Leadership experience initiating and driving projects

3. Data architecture in designs, builds and contributes to services that reduce the complexity and time investment required to log data accurately and efficiently and architects sophisticated multi tier logical and physical models that reduce the time and complexity required to perform data modeling across a product or domain

5. Data pipelines in evaluates design and operational cost benefit trade offs in systems evaluates configuration parameters to optimize efficiency, performance and scalability of software components, partners with system architects to optimize design to deliver the overall system architecture architects and implements for scale and complexity and defines and evolves new standards and patterns that are adopted across the function

6. Data visualization in designs and builds services that reduce the complexity and time investment required to prepare and manipulate data for visualization, appropriately applies advanced concepts and procedures to solving complex data visualization problems identifies and creates the most powerful way to visualize the data and distills complex findings into simple, compelling visualizations and conceptualizes new interface components, widgets and design elements, or new ways to compose an interface to maximize its value and usefulness

$257,003/year to $279,400/year + bonus + equity + benefits

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Lead mechanical engineering projects for the Facilities infrastructure Operations team, including working cross functionally with design teams, construction, field operations, vendors, and R&D. Troubleshoot and establish corrective actions for designs...

Facebook Data Center Facilities Engineering Mechanical Engineer United States, California, Fremont

Data Center Facilities Engineering, Mechanical Engineer Responsibilities

Lead mechanical engineering projects for the Facilities infrastructure Operations team, including working cross functionally with design teams, construction, field operations, vendors, and R&D.

Troubleshoot and establish corrective actions for designs and implementation.

Conduct regular analyses and audits of mechanical system utilization.

Develop effective measurements and reports from BMS and other monitoring systems to increase performance and reliability.

Evaluate systems to perform effective and efficient load management and capacity planning.

Monitor, trend, and develop engineering metrics and statistical data for strategic planning.

Review “asbuilt” mechanical documentation and verify accuracy.

Investigate actual site conditions and update records.

Develop and generate specifications, RFPs, ROMs and SOWs for projects.

Evaluate facility processes and industry best practices to drive efficiencies and effectiveness.

Requires a Master's in Mechanical Engineering or a related field and two years of work experience in the Job offered or in a related occupation

Requires 24 months of experience involving each of the following:

1. HVAC systems design

2. Chiller operation and troubleshooting

3. Air movement fundamentals

4. HVAC system component sizing

5. HVAC&R Controls and troubleshooting

6. ASHRAE and UL standards and

7. Heat exchanger and heat transfer fundamentals

$236,572/year to $265,540/year + bonus + equity + benefits

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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,...

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

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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...

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

Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product. Analyze user needs and...

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03.09.2025

Facebook Data Engineer United States, California

Data Engineer Responsibilities

Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.

Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.

Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.

Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.

Design, develop, test, and launch new data models and processes into production, and provide support.

Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.

Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.

Identify data infrastructure issues and drive to resolution.

Master’s degree (or foreign degree equivalent ) in Computer Science, Engineering, Mathematics, Physics, or related field. Requires 2 years of experience in the job offered or in a related occupation

Experience must include 24 months involving the following:

1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

2. Programming in Python

3. Writing SQL statements

4. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies

5. Data warehousing architecture and plans

6. Informatica, dimensional data modeling, or schema design and

7. Map Reduce or MPP system

$216,571/year to $235,400/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

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