Software Engineer – Machine Learning
Company | Meta |
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Location | Seattle, WA, USA, Burlingame, CA, USA, Fremont, CA, USA, San Francisco, CA, USA, Remote in USA, Redmond, WA, USA, Menlo Park, CA, USA, New York, NY, USA, Bellevue, WA, USA, Sunnyvale, CA, USA |
Salary | $85.1 – $251000 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s, PhD |
Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
- Demonstrated experience driving change within an organization and leading complex technical projects
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
- Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with expert end-to-end understanding
Preferred Qualifications
- Masters degree or PhD in Computer Science or a related technical field
- Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
- Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
- Understanding of information retrieval concepts, such as indexing, querying, and ranking
- Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques