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Software Engineer, AI Infra
MetaNew York City, United Statesfull_timeVerifiedPosted 25 Sept 2025
💰 $200,200/yr($178,360/yr – $200,200/yr)
About the role
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.Software Engineer, AI Infra Responsibilities
$१,७८,३६०/year to $२,००,२००/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, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice
- 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.
- Build solutions to minimize the latency between ML model training and serving.
- Contribute to solutions that enable ML training on higher scale models through modern techniques like parameter servers.
- Requires a Bachelor’s degree in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or related field. Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Coding in at least one of the following industry-standard languages: C, C++, Java, or C#
- 2. Experience with scripting languages such as Python, JavaScript, or Hack
- 3. Building large-scale infrastructure applications
- 4. Relational databases and SQL
- 5. Distributed Systems
- 6. Linux, UNIX, or other *nix-like operating systems with strong understanding of file manipulation and basic commands, concepts like swap and shared memory
- 7. Machine Learning
- 8. Deep Learning frameworks: PyTorch, Caffe2 or TensorFlow
- 9. Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
$१,७८,३६०/year to $२,००,२००/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, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice
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