-
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. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
4. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
5. 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.
6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
7. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
Minimum Qualifications:
8. Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
9. Requires completion of a graduate-level course, research project, or internship involving the following:
10. 1. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
11. 2. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
12. 3. Translating insights into business recommendations
13. 4. Hadoop/HBase/MapReduce/Spark
14. 5. Developing and debugging in C/C++ and Java
15. 6. C, C++, C#, or Java
16. 7. Python
17. 8. Relational databases and SQL
18. 9. Software development tools: Code editors (VIM), and revision control systems (GIT)
19. 10. Linux, UNIX OS as evidenced by file manipulation, advanced commands, and shell scripting
20. 11. Build highly-scalable performant solutions
21. 12. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
22. 13. 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
23. 14. Distributed systems
24. 15. Applied machine learning
25. 16. Algorithms: Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, or Deep Neural Networks
26. 17. Working with main components of recommendation systems (recall, sort, reranking, cold-start problem), with an understanding of mainstream recommendation models used in the industry
27. 18. Big Data tools (Hive sql/Spark/Mapreduce) and
28. 19. Deep Learning tools (Tensorflow/Pytorch)
Public Compensation:
$185,644/year to $200,200/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 Searches
- ticket gate agent customer (United States)
- web information designer (United States)
- freezer order selector (United States)
- account analyst ii (United States)
Recent Jobs
-
Software Engineer, Machine Learning
- Meta (Menlo Park, CA)
-
Associate Director, Outside Counsel & Vendor Management
- Merck & Co. (Rahway, NJ)
-
Senior Manager - North America Operations Quality PV Oversight
- Novo Nordisk Inc. (Plainsboro, NJ)