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Software Engineer – Machine Learning

Software Engineer – Machine Learning

CompanyMeta
LocationSeattle, 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
TypeFull-Time
DegreesBachelor’s, Master’s, PhD
Experience LevelSenior, 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