Tower Research Capital Machine Learning Intern Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Tower Research Capital.
Tower Research Capital
Machine Learning Intern
Intern Average Positive experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding
I had a technical interview with a recruiter, it was virtual. They asked me one question that had 5 parts, and it was about coding using data engineering and pandas. I was allowed to look up documentation during the interview.
Confirmed questions1 question
- Using pandas for data engineering tasks.
Tower Research Capital
Machine Learning Intern
Intern Average Neutral experience Decline offer 2 rounds
Interview process
Take home Technical screen Background check
Interview formats
Technical Behavioral
The interview was pretty standard. First, there was an online test. Then, there were two parts to the interview: a technical part where they wanted to see how I solved problems, and an HR part to see if I'd be a good fit and if I could communicate well.
Confirmed questions1 question
- Can you describe a project you recently completed, focusing on the challenges you faced, the technical decisions you made, and how you approached scalability?
Tower Research Capital
Machine Learning Intern
Intern Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Take home Technical screen Onsite
Interview formats
Coding Technical System Design Presentation Other
It was an easy interview, starting with basics and moving to advanced topics with code. They covered pandas, numpy, SQL, tensorflow/pytorch, classical ML, NLP, LLMs, docker, git, bash, system design, and ML design. There was a system design case study involving real-world projects and ML design. They also had one OA round on HackerRank, one LeetCode medium, one Python coding question, one bash script question, and 12 multiple-choice questions on CS fundamentals and theoretical ML.
Confirmed questions1 question
- Describe a system design for a particular scenario, specifying which LLMs and vector databases to use, and explaining your reasoning.
Tower Research Capital Machine Learning Intern Interview Questions
Quoted word for word from Tower Research Capital interview reports.
“Write code for classification using OpenCV in a Jupyter notebook.”
Read reports →“Could you complete a basic Python code snippet using the itertools library?”
Read reports →“Can you explain some ML concepts related to NLP?”
Read reports →“Describe a system design for a particular scenario, specifying which LLMs and vector databases to use, and explaining your reasoning.”
Read reports →“Can you answer 4-5 multiple choice questions on basic machine learning and scheduling tasks?”
Read report →“Can you walk me through one of your NLP projects?”
Read report →“Can you describe a project you recently completed, focusing on the challenges you faced, the technical decisions you made, and how you approached scalability?”
Read report →Formats, difficulty and experience
Across all 6 Tower Research Capital interview reports.