Technical Lead

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Technical Lead Responsibilities

• Scale the largest hardware/software infrastructure in the world.
• Explore and seed new AI hardware and software technologies for Meta’s infrastructure needs.
• Work with Product
  Engineering, Infrastructure Engineering, and Data Engineering teams to find the optimal way to scale the infrastructure, which encompasses tens of billions of user requests, hundreds of peta bytes of data, and thousands of giga bps of network flow.
• Own end-to-end product design, launch, and operation.
• Support architecture design, define networking requirement, and help code build from scratch to support new product launch.
• Tackle the state-of-the-art hardware performance issues as well as analyze and debug difficult server performance issues (latest in industry), identify bottlenecks, and optimize product/service performance to improve user experience.
• Solve complex software performance issues by working with software developers to improve code base performance (e.g.
• algorithm redesign), and reduce resource consumption and shorten request latency.
• Telecommuting permitted from anywhere in the U.S.

Minimum Qualifications

• Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Computer Engineering, Electrical Engineering, or related field and 24 months of work experience in job offered or in a computer-related occupation.
• Requires 6 months of experience in the following:
• 1. C, C++, Python, Perl, and Shell scripting
• 2. Microprocessor architecture
• 3. Performance tuning, benchmarking, and modeling
• 4. Ability to build large, highly-scalable performant solutions
• 5. Technical presentation skills
• 6. R&D of scalable machine learning/deep learning algorithms to process and extract insights from petabytes of data
• 7. Statistical learning and mathematical optimization for data modeling
• 8. Design and evaluate experiments to monitor key product metrics, root cause analysis for change in metrics
• 9. Research novel deep learning techniques for ranking, recommendation, and NLP/Video to drive infrastructure efficiency and
• 10. Design data analytic pipeline and dashboards.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$330,408/year to $339,130/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 benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, p