Principal Machine Learning Engineer
Description For Principal Machine Learning Engineer
Join Microsoft's GenAI Systems team in Azure AI as a Principal Machine Learning Engineer, leading the development of customized LLM solutions. This role focuses on fine-tuning, distillation, synthetic data generation, and custom model development, enabling enterprises to build optimized, scalable AI systems. You'll be part of a dynamic team shaping the future of AI and language models, working on high-impact projects with global reach. The position offers the opportunity to collaborate with leading experts in the field while enjoying a flexible and inclusive work environment. The role requires extensive experience in machine learning, particularly in GenAI and LLMs, with responsibilities ranging from model optimization to mentoring team members. Microsoft provides comprehensive benefits, including industry-leading healthcare, educational resources, and work-life balance benefits. The hybrid work environment allows up to 50% work from home, with some travel requirements (0-25%).
Responsibilities For Principal Machine Learning Engineer
- Optimize model performance, scalability, and efficiency
- Conduct experiments to evaluate model performance, robustness, and generalization
- Implement customization techniques for various NN based architectures
- Explore novel techniques and approaches to enhance model capabilities
- Stay up-to-date with the latest advancements in NLP, deep learning, and AI research
- Work with large-scale datasets, preprocess them, and create appropriate data representations
- Select relevant features and ensure data quality for training and evaluation
- Develop and deploy customized LLM solutions for customer scenarios
- Optimize models using fine-tuning, distillation, and synthetic data generation
- Mentor and guide team members to foster innovation and technical excellence
Requirements For Principal Machine Learning Engineer
- 10+ years of experience in machine learning, with a strong focus on GenAI and LLMs
- Ph.D. or Master's in CS, AI, or a related field
- Hands-on experience with LLM fine-tuning, model compression, and synthetic data generation
- Strong background in machine learning, deep learning, and natural language processing
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch)
- Experience with transformer-based models (BERT, GPT, T5, Llama)
- Familiarity with cloud platforms and distributed computing
- Solid understanding of statistics, linear algebra, and probability theory
- Excellent problem-solving skills
- Proven ability to build, optimize, and scale AI models in production
Benefits For Principal Machine Learning Engineer
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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