Machine Learning Engineer II
Job Description
Microsoft's Copilot Studio Applied Science and Research team is seeking a talented Machine Learning Engineer II to drive innovation in AI technologies. This role combines cutting-edge machine learning expertise with practical software engineering skills to develop and integrate AI solutions that are both powerful and ethical.
The position offers an exciting opportunity to work on Microsoft Copilot Studio, where you'll be instrumental in developing and fine-tuning large language models, creating AI agents, and establishing evaluation frameworks. You'll collaborate with cross-functional teams including product, design, research, and engineering to bring innovative solutions to life.
As a Machine Learning Engineer II, you'll be responsible for building and maintaining tools for model fine-tuning, implementing advanced ML algorithms, and developing frameworks for model performance assessment. The role requires expertise in deep learning, generative AI, NLP, and distributed systems, with a focus on translating research into practical solutions that drive business impact.
The position offers competitive compensation ranging from $100,600 to $199,000 per year (higher in SF and NYC areas), along with comprehensive benefits including healthcare, educational resources, and parental leave. Microsoft provides a collaborative environment where you'll have opportunities to shape the future of AI while working with industry-leading technologies and experts.
This role is perfect for someone who combines strong technical skills with a growth mindset and customer empathy. You'll be part of Microsoft's mission to empower every person and organization on the planet to achieve more, while working in an inclusive culture that values respect, integrity, and accountability.
The position offers hybrid work arrangements with up to 50% work from home flexibility and minimal travel requirements (0-25%). Join Microsoft's Copilot Studio team to be at the forefront of AI innovation while enjoying excellent career growth opportunities and comprehensive benefits.
Responsibilities For Machine Learning Engineer II
- Build and maintain internal tools to streamline model fine-tuning and evaluation workflows
- Prepare and analyze data for machine learning
- Implement machine learning algorithms and large-scale model fine-tuning
- Contribute to existing innovations by refining models and training techniques
- Develop frameworks to assess model performance and monitor model behavior
- Write production codes and debug complex distributed systems
- Provide subject matter expertise in AI subfields
- Demonstrate understanding of small and large language models architecture
Requirements For Machine Learning Engineer II
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- 5+ years experience developing and deploying AI/ML products or systems
- Must pass Microsoft Cloud Background Check
Benefits For Machine Learning Engineer II
- 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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