Microsoft Senior Machine learning Engineer 

India, Karnataka, Bengaluru 

928732657

is at thecutting edgeof developing large language model technologies to powerproducts and offering them as a service for both internal and external applications. Wedeeply with OpenAI and

The team is looking for a passionate, creative, and analytical individual contributor with a background in large language modeling. You will work on adapting and grounding large language models for product-driven scenarios. The focus will be on developing deep learning techniques to enhance the custom copilot experience through efficient adaptation of large-scale language models. The work will span multiple stages ofadaptation, including supervised fine-tuning and post-training with Reinforcement Learning from Human Feedback (RLHF).

Machine Learning Engineer

our culture every day.

Required Qualification:

• Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field and 8+ years related experience (e.g., statistics, predictive analytics, research)

• Solid grasp ofmachine learning concepts, large model trainingandproficiencyin Python or similar languages

• Good understanding of modern cloud native infrastructure, distributedsystemsand frameworks

Preferred/Additional Qualifications:

• Rich experience in large language modeling and related areas.

• Publication in top-tier conferences on large language models is a big plus

• amiliarity with Triton, CUDA

• Experience with data processing and handling large datasets

• Ability to work collaboratively in a team and communicate complex concepts effectively

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

• Development for OpenAImodelscustomization andlarge scaletraining
• Data preparation,trainingand evaluation of customization tasks
• Scaling Engineering system and Enterprise readiness
• Collaboration with product groups in Microsoft