Woven Planet Holdings Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 12 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Woven Planet Holdings.
Woven Planet Holdings
Machine Learning Engineer
Entry Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding
It was okay. The recruiter was nice. I didn't make it past the technical phone screen, which involved more practical ML rather than theoretical.
Confirmed questions1 question
- Could you debug this mostly implemented ML program in Colab?
Woven Planet Holdings
Machine Learning Engineer
Mid Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Coding Behavioral Presentation
The hiring process took 2-3 months and included interviews with 2 teammates, the team lead, a cross-interview with another team lead, the manager, and HR. After that, I waited about 3 weeks for a response. The interviews with teammates involved an easy coding test and basic computer science questions, as well as discussing ways to improve the coding task solution and background questions. The team lead asked about my background in computer vision and automotive, and my ideas for self-driving car improvement. The cross-interview focused on 'Why Woven?', 'Why Japan?', and the future of automotive, with some basic machine learning and motivation questions. The manager's interview was behavioral, covering motivation, reasons for wanting to move to Japan, and how to handle various situations. HR's interview was conversational, asking about motivation, handling stress, deadlines, and team issues. The interviews felt friendly. The main issue was the 2-3 week wait for a response, especially when I had other offers. They seem to look for engineers with strong motivation, good basic knowledge, a solid background, and a strong desire to work and live in Japan.
Confirmed questions8 questions
- What is the current state-of-the-art in object recognition and human pose prediction?
- How can the corner cases of our CNN or other computer vision models be addressed?
- What is your approach to improving accuracy to nearly 100%?
Woven Planet Holdings
Machine Learning Engineer Intern
Intern Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral
For the internship, there are three rounds. The first is an HR interview, the second is a technical interview from someone in the group, and the last round is a manager interview from the team lead.
Confirmed questions1 question
- Can you write out the entire SGD logistic regression?
Woven Planet Holdings Machine Learning Engineer Interview Questions
Quoted word for word from Woven Planet Holdings interview reports.
“What is the current state-of-the-art in object recognition and human pose prediction?”
Read reports →“Could you define batch normalization?”
Read reports →“Can you write out the entire SGD logistic regression?”
Read reports →“Given plots of a deep learning model's training and validation, how would you identify the issue?”
Read reports →“Can you write code for the Fibonacci sequence?”
Read report →“For a CSV with non-unique numerical IDs, timestamps, and string data, how would you parse it and what data structure would be suitable for storage?”
Read report →“What attracts you to Japan?”
Read report →“How can the corner cases of our CNN or other computer vision models be addressed?”
Read report →“Could you debug this mostly implemented ML program in Colab?”
Read report →Formats, difficulty and experience
Across all 12 Woven Planet Holdings interview reports.