דרושים ב-Facebook ב-United States

Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run Facebook.

Build new features and improve existing products.

Work on problems of moderate scope, push code, drive the development of the systems behind Facebook's products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe.

Develop a strong understanding of relevant product area, codebase, and/or systems.

Demonstrate proficiency in data analysis, programming and software engineering.

Produce high quality code with good test coverage, using modern abstractions and frameworks.

Receiving general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgement and problem solving skills.

Master Facebook’s development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.

Actively seek and give feedback in alignment with Facebook’s Performance Philosophy.

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field, and 5 years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation

Experience must include 5 years in the following:

1. C, C++, Java, C#, Hack or other relevant coding languages

2. Building large-scale infrastructure applications or similar experience in a corporate or start-up environment

3. Designing and completing medium to large features independently without guidance

4. Experience owning a particular component, feature or system

5. Python, PHP, or Haskell

6. Relational databases and SQL

7. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

8. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands

9. Core web technologies: HTML, CSS, or JavaScript

10. Building highly-scalable performant solutions

11. Design scalable distributed systems with established partition tolerance, consistency, and availability guarantees

12. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction

13. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems

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

Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient

Effectively communicate complex features and systems in detail

Understand industry & company-wide trends to help assess & develop new technologies

Partner & collaborate with organization leaders to help improve the level of performance of the team & organization

Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

Lead long term technical vision and roadmap for large cross-company efforts

Suggest, collect and synthesize requirements and create an effective feature roadmap

Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

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

12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission

Experience driving large cross-functional/industry-wide engineering efforts

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Experience communicating and working across functions to drive solutions

Experience mentoring/influencing executive stakeholders across organizations

Experience in programming languages such as C, C++, Java, Swift, or Kotlin, and scripting languages such as Python, Javascript, or Hack

8+ years relevant experience building large-scale applications or similar experience

Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Develop and manage cross-functional programs, facilitating relationships across multiple teams to identify risks, manage dependencies and optimize resources.

Drive visibility, accountability, and execution across their areas of software development for the organization.

Understand product requirements, technical challenges, business needs, and develop a plan for mitigating risk and delivering features that meet the requirements.

Resolve conflicts, maintain clarity on priorities and drive progress on execution.

Drive technical excellence within the team, coordinating and contributing to engineering deliverables including architectural diagrams, specifications, launch criteria, and test plans.

Work cross-functionally to develop best practices and product development processes in a quickly-changing and dynamic environment, and drive impact through deployment of key initiatives.

Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Business Administration, or a related field and 36 months of experience in the job offered or in a computer-related occupation

Experience must include 36 months involving the following:

1. JIRA, Asana, and Microsoft Project

2. Google (Gsuite) Docs, Sheets, and Slides

3. Microsoft Office Word, Excel, and PowerPoint

4. Relational databases and SQL

5. Core web technologies: HTML, CSS, or JavaScript

6. Building highly-scalable performant solutions

7. Phase gate approach to technology development projects

8. Business analysis, technical analysis, design, implementation, software development, agile, scrum methodology, customization, maintenance, training, and implementation of packaged software and

9. Microsoft SQL, Server, Oracle, or Microsoft Access

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

4. SQL or similar languages and development in at least one scripting language such as Python and Perl

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

Develop and deploy network automation systems and network performance improvements for our production network.

Build experience with Backbone, Data Center, and Network Infrastructure Engineering teams and their designs.

Develop and optimize tools used to secure network infrastructure, ensure integrity of device management actions, and authorize device level network access.

Develop automated methods to mitigate and remediate network sourced events.

Analyze data to diagnose and identify root causes to service impacting events.

Be an active participant in deep technical discussions.

Develop and maintain security, reliability and efficiency within the network infrastructure.

Requires a Master's or a foreign equivalent in Computer Science, Computer Engineering, Electrical 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 the following:

Computer networks

UNIX, TCP/IP, network fundamentals, or similar

Coding in at least one language (e.g. Python and C++)

Understanding network design and management concepts

Hands on operation and configuration of network devices

Proven network troubleshooting experience

Develop, design, create, modify, and/or test software applications or systems for various products or software services.

Develop a strong understanding of relevant product area, codebase, and/or systems.

Demonstrate proficiency in data analysis, programming, and software engineering.

Produce high-quality code with good test coverage using modern abstractions and frameworks.

May be assigned to specific group focused on product or 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 internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.

Requires a Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, Analytics, Mathematics, Statistics, or in a related field. Requires 12 months of experience in job offered or in a related occupation

Requires 12 months of experience involving the following:

1. Develop monetization tools for creators on digital platforms

2. Develop Ad features that help businesses source their ad creative from the creators

3. Improving the app performance on digital platforms

4. Ensure app features are built in a privacy safe manner and

5. Ensure new insights reported to businesses and creators are accurate and aggregated with privacy in mind