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University of Washington

Machine Learning Interview Masterclass

Machine Learning Interview Masterclass

This short course is designed for working professionals and students who are eager to excel in data science and machine learning engineer interviews but are unsure where to start. This course offers structured preparation material, hands-on practice, and mock interview sessions to help you gain confidence and master the interview process.

Over two weekends, you’ll engage in four comprehensive modules that combine theoretical knowledge with practical exercises, peer learning, and feedback sessions. By the end of the course, you’ll have a clear understanding of your strengths and areas for improvement, equipping you with the skills needed to ace your data science and machine learning engineer interviews.

Please note date change as of 3/18

Date: Saturday 4/26, Sunday 4/27, Saturday 5/3, and Sunday 5/4, 2025
Time: 2 – 5 p.m.
Location: Room 269, Electrical and Computer Engineering Building, University of Washington Seattle Campus, Paul Allen Center, 185 E Stevens Way NE, Seattle, WA 98195

Topics Covered 

  • The Data Science and Machine Learning interview process
  • Preparation for the Machine Learning breadth, depth, design, and coding technical interviews
  • Hands-on practice with peers to simulate real interview scenarios
  • Strategies to identify your weaknesses and tips to enhance your interview performance

Short Course Schedule 

Each module will take place from 2 p.m. – 5 p.m.

Modules Lecture Material Coding Tutorial
Saturday 4/26 Intro to the interview process Sample coding questions
Sunday 4/27 Coding deep-dive Coding tutorial
TAKE HOME Interview prep assignment Simulated interviewing
Saturday 5/3 DS/ML design ML breadth/depth tutorial
Sunday 5/4 Real-world interviewing Pitfalls to avoid

This short course will be held in person. Although we will record the sessions for participants to review later, the short course is designed for live participation on the UW Seattle campus.

Participants

This short course is designed for working professionals and students with a machine learning background. Participants should have familiarity with machine learning concepts and basic natural language processing as well as proficiency in Python.

Registration and Cost

  • General/ Industry: $1100
  • Academic Rate: $500

The academic rate includes currently enrolled students, ECE PMP alumni, and those enrolled in the Machine Learning certificate.

Are you a current ECE PMP student? You can take this course for seminar/ colloquium credit by registering in EE P 500 Section C for the Spring quarter. Please email ecepmp@uw.edu if you have any questions!

REGISTRATION IS NOW CLOSED (4/18/25)

Course Instructor

Karthik Mohan is an affiliate professor in the Department of Electrical & Computer Engineering at the University of Washington. He has extensive experience in machine learning from his Ph.D. studies to later on as Senior Applied Scientist at Amazon and Facebook. He has worked on a range of problems including recommender systems, anomaly detection, learning graphical models, optimization methods for machine learning and natural language generation for intelligent devices, which have led to multiple publications at top conferences.

Questions?

Please email Industry and Professional Programs at industry_programs@ece.uw.edu.

  • Machine Learning Interview Masterclass