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Machine Learning Engineer

2 months ago

Charleston, West Virginia, United States META Full time
Transformative Change at Meta

Meta is embarking on a groundbreaking transformation, and our Machine Learning Engineers are at the forefront of this revolution. As a key player in this evolution, you will have the opportunity to drive innovation and advance the way people connect around the world.

Key Responsibilities
  • Set the direction and goals for a sizable team, focusing on project impact, ML system design, and ML excellence.
  • Adapt standard machine learning methods to leverage modern parallel environments, such as distributed clusters, multicore SMP, and GPU.
  • Re-evaluate the tradeoffs of existing features and ML systems, driving large efforts across multiple teams to reduce technical debt and design from first principles when necessary.
  • Lead a team in developing ML best practices and influencing engineering culture.
  • Escalate complex online/production performance and evaluation issues, requiring in-depth knowledge of how the machine learning system interacts with surrounding systems.
  • Develop highly scalable classifiers and tools using machine learning, data regression, and rules-based models.
  • Suggest, collect, and synthesize requirements, creating an effective feature roadmap.
  • Collaborate with the engineering team to deliver high-quality code.
Requirements
  • 8+ years of experience in software engineering or a relevant field (4+ years with a PhD).
  • 6+ years of experience in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
  • Experience with scripting languages such as Python, JavaScript, or Hack.
  • Leadership experience in successfully managing major initiatives.
  • Experience building and shipping high-quality work with high reliability.
  • Knowledge of developing and debugging in C/C++ and Java, or experience with scripting languages.
  • Technical leadership experience working with teams, owning projects, and defining technical direction.
  • Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field (or equivalent practical experience).
Preferred Qualifications
  • Masters degree or PhD in Computer Science or a related technical field.
  • Experience with architectural patterns of large-scale software applications.
  • Experience with scripting languages such as PyTorch and TensorFlow.
Compensation and Benefits

$85.10/hour to $251,000/year + bonus + equity + benefits.

Equal Opportunity Employer

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, protected veteran status, or disability. 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.