Jobs

Scholarships

Courses

Companies

Placements

Community

Home >

Jobs >

Machine Learning Engineer II

Karnataka, India (On-site)

Machine Learning Engineer II

51 Minutes ago • 2 Years + • Artificial Intelligence • Undisclosed

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

github

reinforcement-learning

deep-learning

azure

python

cuda

Job Description

This Machine Learning Engineer II role at Microsoft's AzureGenAI team focuses on adapting and grounding large language models for product-driven scenarios, specifically enhancing the custom copilot experience. Responsibilities include developing deep learning techniques for efficient adaptation of large-scale language models, using supervised fine-tuning and Reinforcement Learning from Human Feedback (RLHF). The work spans multiple stages of adaptation and requires collaboration with various Microsoft product groups. The ideal candidate will possess strong machine learning concepts, large model training experience, proficiency in Python, and a good understanding of cloud-native infrastructure and distributed systems.

Must have:

Bachelor's Degree in relevant field
2+ years of experience
Solid grasp of ML concepts
Proficiency in Python
Understanding of cloud infrastructure

Good to have:

Experience in large language modeling
Publications in top-tier conferences
Familiarity with Triton, CUDA
Experience with large datasets

Perks:

Industry-leading healthcare
Educational resources
Product and service discounts
Savings and investment options
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

Our team in Azure GenAI is at the cutting edge of developing large language model technologies to power Azure AI Platform products and offering them as a service for both internal and external applications. We collaborate deeply with OpenAI and numerous Microsoft product teams, including GitHub and Office.

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 of adaptation, including supervised fine-tuning and post-training with Reinforcement Learning from Human Feedback (RLHF).

We are looking for a Machine Learning Engineer II to join our team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world. 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Qualifications

Required Qualification:

Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)

Solid grasp of machine learning concepts, large model training and proficiency in Python or similar languages

Good understanding of modern cloud native infrastructure, distributed systems and 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.

Familiarity with Triton, CUDA

Experience with data processing and handling large datasets.

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

#IDCAIPlatformHiring

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.