Software Engineer - Machine Learning
New York City
- 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 diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- 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.
- In connection with these duties, may apply knowledge of the following: Coding in industry-standard languages like C, C++, Java, or C#
- Building large-scale infrastructure applications
- Creating web applications using Python, PHP, or Ruby
- Relational databases and SQL
- and Implementing web interfaces using JavaScript, HTML, or CSS.
- Requires a Masters degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, or a related field (or foreign equivalent)
- Requires 48 months experience in the job offered or a related occupation.
- Experience must include 48 months involving the following:
- 1. Creating web applications using Python, PHP, or Ruby
- 2. Conducting design and code reviews
- 3. Object-oriented software development
- 4. Building maintainable and testable codes bases including API design and unit testing techniques
- 5. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
- 6. Building maintainable and testable code bases, including API design and unit testing techniques
- 7. Linux or Unix
- 8. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
- 9. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
- 10. Data structures and algorithms and
- 11. Debugging or benchmarking.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: APIs Computer Science Computer Vision Data analysis Data Mining Distributed Systems Engineering Git Java JavaScript Linux Machine Learning Mathematics MXNet NLP PHP Physics Python PyTorch RDBMS Ruby SQL Statistics TensorFlow Testing VR
Perks/benefits: Career development Equity Health care Salary bonus
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