QUALIFICATIONS

Required:

• Master’s degree in Statistics, Econometrics, Computer Science, Mathematics, Electrical or Computer Engineering, or related field.
• Experience in ML Engineering and Python coding leveraging PyTorch, TensorFlow or similar framework, within large code repositories and in collaboration with additional team members.
• Experience in designing, training or fine-tuning transformer-based models or LLMs.
• Experience of working with computer vision or audio applications.
• Excellent analytical, coding, communication, and collaborative skills.

Preferred:

• Industry experience delivering real-world solutions.
• Experience with large-scale distributed training and deployment.
• Experience with network architecture search, quantization and other model optimization techniques.
• Experience with Image encoders like Siglip, Florence, etc…
• Experience with AML/ADO pipelines and CI tools.
• System development skills spanning rapid prototypes to production systems with complex dependencies.

• Research, design, implement, adapt, train, fine tune or distill state-of-the-art multi-modal models with the aim to support human communication in Teams
• Prepare datasets, design and implement metrics and optimize model efficiency and performance
• Collaborate closely with other groups (research, engineering and product groups) within the wider Microsoft organization, to create the next generation of AI innovation in our products and services.
• Embody Microsoft culture and values.
  Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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  Industry leading healthcare
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  Educational resources
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  Discounts on products and services
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  Savings and investments
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  Maternity and paternity leave
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  Generous time away
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  Giving programs
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  Opportunities to network and connect
  Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.