The ML Engineer Insights

Hey there! Welcome to ML Engineer Insights! My name is Kartik Singhal, a Senior Machine Learning @ Meta and I'm passionate about all things machine learning. This newsletter is my way of sharing that passion with you.

The hottest Substack posts of The ML Engineer Insights

And their main takeaways

How to succeed as a Machine Learning Engineer

359 implied HN points • 22 Jun 24
🕹 Technology Machine Learning Career development Professional Skills Networking Mentorship
  1. Building a strong foundation in machine learning fundamentals and staying updated with the latest research are crucial for success as a Machine Learning Engineer.
  2. Playing to your strengths, such as data and feature engineering, modeling, and deployment scalability, is key. Seek help in areas where you're less experienced.
  3. Focus on aligning your work with business goals, understanding trade-offs, ROI, and embracing experimentation. Continuous learning, networking, and mentorship are invaluable.

How I Aced Machine Learning Interviews: My Personal Playbook

7 HN points • 03 Jul 24
🕹 Technology Machine Learning Interview Preparation Resources Coding System Design
  1. Machine learning interviews often cover four main rounds: breadth, depth, system design, and coding.
  2. Preparing for machine learning interviews requires a balance of understanding fundamental topics and practicing with sample questions.
  3. Machine learning system design interviews focus on problem definition, evaluation metrics, feature and data handling, model development, and deployment strategies.

Coming soon

0 implied HN points • 19 Jun 24
🕹 Technology AI Newsletter Data
  1. The post is teasing an upcoming newsletter called 'The ML Engineer Insights'.
  2. The post includes a link to subscribe to the newsletter.
  3. The author of the newsletter is Kartik Singhal.