Software Engineer (Machine Learning)

Summary

I am an experienced machine learning practitioner (with PhD in ML) who has implemented machine learning systems at Meta and Microsoft, as well as developed cutting-edge ML algorithms that have been published in top conferences.

At Meta, I designed and implemented a machine learning service for privacy risk evaluation, significantly reducing regulatory management costs for AI models and systems. I developed the entire end-to-end system including data pipelines, training, inference, and deployment, and took ownership of the code quality ensuring every commit was well-tested.

At Microsoft, I designed a machine learning system enabling superior coordination of Azure data centers by improving the accuracy of forecasted build times by 37%.

Expectations

I'm looking to join a fast-paced environment where I can grow quickly while constantly pushing myself to take on new challenges and improve my skills. The ideal organization would provide a collaborative work environment with ample mentorship opportunities.

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Python
• Machine Learning
• Software Engineering
• PyTorch