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Senior Machine Learning Engineer
Job Description
Meta AI is looking for experienced Machine Learning Engineers to build and scale the next generation of AI systems that power our products and research.
**Responsibilities:**
* Design, implement, and deploy production-level machine learning systems and infrastructure.
* Develop and optimize ML models for various applications, including recommendations, content understanding, and generative AI.
* Collaborate with researchers to operationalize cutting-edge ML algorithms.
* Drive improvements in ML system performance, reliability, and efficiency.
* Mentor junior engineers and contribute to the team's technical direction.
**Minimum Qualifications:**
* Bachelor's degree in Computer Science, Engineering, or a related technical field.
* 5+ years of professional experience in software engineering or machine learning.
* Strong programming skills in Python or C++.
* Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and distributed systems.
* Solid understanding of ML principles and best practices.
**Preferred Qualifications:**
* Master's or PhD in Computer Science, Machine Learning, or a related field.
* Experience with large-scale data processing frameworks (e.g., Spark, Hadoop).
* Experience with MLOps, model deployment, and monitoring.
* Familiarity with PyTorch's distributed training capabilities.
Skills & Tags
machine learningmlopsdeep learningpythonpytorch