Τύπος · Ownership

Growth · Software Engineer Interview Guide
How to Pass the ElevenLabs Software Engineer Interview in 2026
Το DNA της ElevenLabs (TL;DR)
Οι συνεντεύξεις tech διεξάγονται στα αγγλικά
Ακόμη κι όταν κάνετε αίτηση τοπικά, η ίδια η συνέντευξη γίνεται σχεδόν πάντα στα αγγλικά. Σας δείχνουμε κάθε ερώτηση και prompt πρώτα στα αγγλικά — τη γλώσσα στην οποία θα γίνει η συνέντευξη — με μετάφραση από κάτω για να προετοιμαστείτε στην ισχυρότερη γλώσσα σας.
Το Interview Loop της ElevenLabs
Το onsite loop σας θα αποτελείται τυπικά από 5 γύρους.
- 1
Γύρος 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Γύρος 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Γύρος 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Γύρος 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Γύρος 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
Η ζώνη κινδύνου: Κορυφαίοι λόγοι που οι υποψήφιοι αποτυγχάνουν
Με βάση τη βάση δεδομένων μας με αποτελέσματα συνεντεύξεων ElevenLabs, αποφύγετε αυτές τις συνηθισμένες παγίδες:
- Not considering user feedback as a potential input for quality monitoring.
- Generic answer not tailored to ElevenLabs's specific mission or technology.
- Providing inadequate error messages to the client.
- Focusing on personal feelings rather than professional resolution.
Δοκιμάστε τον εαυτό σας: Πραγματικές ερωτήσεις ElevenLabs
Τρία πραγματικά prompts τραβηγμένα από τη βάση δεδομένων μας.
Τύπος · Learning
Τύπος · Influence
+ πολλές ακόμη ερωτήσεις, σήματα και επεξεργασμένα παραδείγματα
Εγγραφείτε για να ξεκλειδώσετε τη ρουμπρίκα βαθμολόγησης JobMentis
ElevenLabs Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 25 questions shown
Recruiter Screen
1- 1
Τύπος · Motivation
What interests you about ElevenLabs specifically, and how do you see your skills contributing to our mission of advancing the power of voice?
Coding Screen
3- 2
Τύπος · Algorithmic
Given a stream of audio chunks, design a system to detect and flag potentially offensive or inappropriate content in real-time. You can assume a pre-trained model exists for content classification. Focus on the data structures and algorithms for efficient processing of the stream. - 3
Τύπος · Algorithmic
Implement a function that takes a list of audio file metadata (e.g., duration, sample rate, speaker ID) and returns the top K most diverse speaker IDs, where diversity is defined by a combination of the number of unique audio files and the total duration of audio associated with each speaker. Use a min-heap for efficiency. - + 1 more questions in this round (sign up to unlock)
System Design
4- 4
Τύπος · System Design
Design a scalable API service that allows users to upload audio files and receive synthesized speech in various voices and languages. Consider aspects like request queuing, processing, storage, and delivery. - 5
Τύπος · System Design
How would you design a system to detect and prevent duplicate audio synthesis requests at scale? Consider potential race conditions and the need for high throughput. - + 2 more questions in this round (sign up to unlock)
Onsite Coding
4- 6
Τύπος · Debugging
A user reports that sometimes synthesized speech has a noticeable 'robotic' artifact, especially on longer sentences. Here's a snippet of the synthesis code and logs. Debug and explain the potential cause and how to fix it. - 7
Τύπος · Algorithmic
Implement a function to efficiently find the longest common subsequence (LCS) between two text transcripts. Optimize for cases where the transcripts might be very long. - + 2 more questions in this round (sign up to unlock)
Behavioral / Leadership
13- 8
Τύπος · Ownership
Tell me about a time you took ownership of a project or feature that was failing or at risk. What was the situation, what did you do, and what was the outcome? - 9
Τύπος · Conflict Resolution
Tell me about a time you had a significant disagreement with a colleague or manager. How did you handle it, and what was the resolution? - + 11 more questions in this round (sign up to unlock)
Unlock the full ElevenLabs question bank
Free signup, no credit card. You get every question + the framework, grading signals, and worked answer for each.
Interview tracks at ElevenLabs
How ElevenLabs's DNA translates across functions. Pick your role.
SWEs are assessed on expertise in AI/ML, distributed systems, and audio processing, focusing on building scalable, high-performance voice synthesis models and infrastructure. Experience with real-time audio, large-scale data, or GPU optimization is crucial.
Ownership
Learning
+ 1 more
Unlock the Software Engineer grading rubric for ElevenLabs
See full Software Engineer guideCompare ElevenLabs with other tech interviews
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