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Machine Learning Engineer, Foundation Models
Job Description
Meta AI is at the forefront of building the next generation of AI, powering everything from fundamental research to products used by billions. We are seeking talented Machine Learning Engineers to join our Foundation Models team. You will work on cutting-edge research and development of large-scale AI models that push the boundaries of what's possible in areas like language understanding, generation, and multimodal AI.
**Responsibilities:**
* Design, implement, and deploy novel machine learning models and algorithms.
* Collaborate with researchers and engineers to bring state-of-the-art models from research to production.
* Optimize model performance and scalability for large-scale training and inference.
* Develop and maintain robust ML infrastructure and tooling.
* Contribute to the broader AI community through publications and open-source contributions.
**Requirements:**
* MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
* Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
* Deep understanding of deep learning architectures, especially transformers and large language models.
* Experience with distributed training and large-scale data processing.
* Excellent problem-solving and communication skills.
**Benefits:**
Meta offers a competitive salary, comprehensive health benefits, stock options, 401(k) matching, and generous paid time off. We foster a collaborative and innovative work environment.
Skills & Tags
machine learningdeep learningfoundation modelsllmtransformers