Lytx Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Lytx.
Lytx
Machine Learning Engineer
Mid Average Neutral experience No offer 4 rounds
Interview process
Take home Technical screen Technical screen Onsite
Interview formats
Coding Technical Behavioral
First, there was an online HackerRank test with two medium Python coding questions and some MCQs. Then, an online interview focused on deep learning and neural networks, including analytical scenarios like predicting outputs given certain network conditions. The next round was an online Python coding session with three problems: one about matching parentheses, another about reversing a number without string conversion, and a third on sorting. Finally, a managerial round involved situational questions and discussions about past projects.
Confirmed questions3 questions
- How to solve the parentheses matching coding question?
- How to write a function to reverse a number without using string conversion?
- Can you recall the sorting question asked in the coding round?
Lytx
Machine Learning Engineer
Mid Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Technical screen Technical screen Background check
Interview formats
Technical Coding Behavioral
The interview process took about a month. It started with resume shortlisting. Then, there was an Online Assessment on Hackerrank with MCQ questions on ML basics and 2 coding questions (Leetcode medium). After that, I had a one-on-one online Coding Round interview with a couple of coding questions (Leetcode easy) and discussions on complexity and optimization. This was followed by a Technical Interview where they introduced Lytx's work and asked questions from my resume (projects, interests, experience) plus ML basics like ML model pipeline, quantization, and transfer learning. Finally, I had a Managerial Round with the Hiring Manager, which was a friendly discussion about my motivation for joining, past experiences, strengths, challenges in computer vision, and my projects. The HR person was very helpful throughout the process.
Confirmed questions8 questions
- Can you write a function to determine if the parentheses in a given string are correctly matched?
- Could you implement a function to check if a number is a prime number?
- Regarding your solutions, what are their time and space complexities?
Lytx
Machine Learning Engineer
Entry Average Positive experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Coding Technical
It was a two-round interview process. The first round involved solving two Hackerrank questions, one easy and one medium. The final round consisted of solving a Machine Learning related question. It was straightforward if you had a good grasp of ML fundamentals.
Confirmed questions1 question
- Can you describe a situation where you successfully solved a problem?
Lytx Machine Learning Engineer Interview Questions
Quoted word for word from Lytx interview reports.
“How to write a function to reverse a number without using string conversion?”
Read reports →“Can you write a function to determine if the parentheses in a given string are correctly matched?”
Read reports →“What exactly is model quantization, and what is its purpose?”
Read reports →“Can you explain Python List slicing?”
Read reports →“Could you implement a function to check if a number is a prime number?”
Read report →“Explain the Bias-Variance tradeoff.”
Read report →“In what scenarios would accuracy not be the best metric for evaluating a model?”
Read report →“What is PCA?”
Read report →“How to solve the parentheses matching coding question?”
Read report →Formats, difficulty and experience
Across all 8 Lytx interview reports.