Software Engineer, Systems
New York, NY
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Meta
Giving people the power to build community and bring the world closer together
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, Systems Responsibilities
$181,274/year to $200,200/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 here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run our Machine Learning
models on both GPU- and CPU-centric architecture. - Build new features and improve existing products.
- Work on problems of moderate scope.
- Push code, drive the development of the
systems behind our 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 judgment and problem solving skills. - Master internal 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 company Performance
Philosophy. - Optimize generative ML models to improve their performance and efficiency, particularly on GPU architecture.
- Use techniques such as hyperparameter tuning, model pruning, and quantization to reduce the computational requirements of the models while maintaining their accuracy.
- Collaborate with data scientists and engineers to integrate optimized models into the product development process.
- Continuously monitor and evaluate the performance of deployed models and retrain them as necessary to maintain optimal performance.
- Requires a Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
- Completion of one graduate-level course, one research project, or one internship involving the following:
- 1. Coding in one of the following industry-standard languages: C, C++, Java, or C#
- 2. Machine Learning (ML) core concepts and ability to support ML engineers, providing systems infrastructure support to enable ML model authoring, training and serving, including on GPU architectures
- 3. Relational databases and SQL
- 4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 5. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
- 6. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
- 7. 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 - 8. Distributed systems
$181,274/year to $200,200/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 here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Category:
Engineering Jobs
Tags: Architecture Computer Science Data analysis Distributed Systems Engineering Git GPU Java Linux Machine Learning Mathematics ML models Physics RDBMS Research Shell scripting SQL VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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