Thinking Machines Interview Guide
Interview difficulty 5.9 / 10Based on 17 interview reportsUpdated weekly
Everything we know about interviewing at Thinking Machines: what each round tests and compensation by level.
Software EngineerResearch Engineer
01Skills
What Thinking Machines evaluates
How often each skill shows up across reported interview loops.
Data Structures (DSA)100%Research Engineering100%Infrastructure Engineering96%Algorithms (Coding Practices)95%Training Systems92%Backend Development (General)91%Reinforcement Learning (RL) Systems89%Technical Q&A about the Code87%Inference Systems85%Product Presentation (PowerPoint/Decks)83%Numerics82%Research Acceleration78%
02Role guides
Interview guides by role
Each guide has the questions Thinking Machines interviewers actually ask, the loop structure, and total compensation by level.
2roles
03Compensation
What Thinking Machines pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
04FAQ
Thinking Machines interview FAQ
Answered from real candidate and workplace data, marked up for rich results.
05In their words
What people say about Thinking Machines
Verbatim snippets pulled from employee and candidate reviews.
The culture fosters career growth and is supported by great people.
Salaries are average to slightly below, and the workload can be hectic.
Consider negotiating salary expectations, as they may not meet industry standards.
Overall, it's a great place to work with a strong culture, but there's room for improvement in compensation.
The company fosters a strong culture and is home to intelligent colleagues, making it a great place to work.
Work-life balance can be challenging depending on the project.
06Related
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