-
Software Engineer, Machine Learning
- Meta (Menlo Park, CA)
-
Summary:
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.
Required Skills:
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
3. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
4. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
5. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
6. Develop and implement advanced machine learning models for our recommendation system, enhancing user experience by delivering personalized advertisement.
7. Conduct rigorous data analysis and apply statistical techniques to understand user behavior and model performance.
8. Collaborate with cross-functional teams (engineering, product management, design) to integrate ML models into our product and optimize their performance.
Minimum Qualifications:
Minimum Qualifications:
9. Requires a Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field
10. Requires completion of a university-level course, research project, internship, or thesis in the following:
11. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
12. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
13. Translating insights into business recommendations
14. Developing and debugging in C, C++, and Java
15. Scripting languages: Perl, Python, PHP, or shell scripts
16. C, C++, C#, or Java
17. Python, PHP, or Haskell
18. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
19. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands
20. Distributed systems including sharding, consistency, and availability
21. Data structures and algorithms
22. Researching skills to find, define, and solve Machine Learning and engineering problems
23. Mathematical foundations of Calculus, Statistics, and Linear Algebra
24. Ability to design experiments and evaluate model performance
25. Data science skills including processing sampling, sketching, and distributed processing of large scale databases, graphs, and data streams for purposes of scalable statistical description, querying, pattern mining, and learning
26. Programming methodologies (functional and object-oriented) and Design Patterns (Builders, Fluent API, Publish/Subscribe, State, Memento, Promise)
27. Design test cases to detect errors in code by applying systematic criteria and write code predicates to validate the inputs and outputs of a potential solution to a program problem
Public Compensation:
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
-
Recent Jobs
-
Software Engineer, Machine Learning
- Meta (Menlo Park, CA)
-
Senior Environmental Analyst
- New York State Civil Service (Latham, NY)
-
Digital Consulting Senior Manager, Oracle Cloud SCM/Procurement - Energy & Utilities (US or Canada)
- Huron Consulting Group (Van Buren, AR)
-
Junior Web Developer
- GliaCell Technologies (MD)