Software Engineer, Systems Machine Learning
New York, NY
Meta
Giving people the power to build community and bring the world closer together- Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run applications.
- 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 areas, 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.
- Receive 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.
- Provide support to production systems and contribute to resolution of critical system issues.
- Collaborate with Machine Learning and Infrastructure engineers to improve proprietary AI accelerator software stack.
- Perform design and code reviews.
- Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
- Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Expert proficiency in C, C++
- 2. Expert proficiency in Python
- 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 including file manipulation and simple commands
- 6. Core web technologies: HTML, CSS, or JavaScript
- 7. Building highly-scalable performant solutions
- 8. Distributed systems including sharding, consistency, and availability
- 9. Algorithms
- 10. GPU, CPU, or AI hardware accelerator architectures, AND
- 11. Developing deep learning training and inference frameworks like PyTorch, Caffe2, TensorFlow, ONNX, or TensorRT.
154.192 $/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.
Tags: Architecture Computer Science Data analysis Deep Learning Distributed Systems Engineering Git GPU JavaScript Linux Machine Learning Mathematics ONNX Physics Python PyTorch RDBMS Research SQL TensorFlow TensorRT VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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