Deepgram Interview Guide
Everything we know about interviewing at Deepgram: the process stage by stage, what each round tests, and compensation by level.
Interviewing at Deepgram
What the process looks like, and what Deepgram is really testing for.
You go through a process that mixes standard screens with work you can actually build or present. Reported steps include a recruiter screen, one or more technical conversations, and then take-home work that is followed by a review or follow-up discussion, plus case or panel style presentations for some roles.
Across the topics they ask about, the core tests are Python ability, solutions architecture, and machine learning. Their interview topics heavily feature Python (percentile 93), plus ML concepts and machine learning generally (Deep Learning percentile 71, ML Concepts percentile 100, Machine Learning concept percentile 100), and for architecture-heavy roles they also show up strongly as Solutions Architecture (System Design & Architecture percentile 100). They also test role-specific technical content like Sales Process Design (Technical Skills percentile 100), Customer Success Methodology (Technical Skills percentile 100), Automatic Speech Recognition and Churn Analysis (both very prominent, ASR percentile 96, Churn Analysis percentile 95).
What happens after the interviews depends on the role, but the reported loop includes follow-ups to the take-home assignment and, for some roles, executive level reviews or final presentation formats. In aggregate, the candidate reports show a 6.3% offer rate and a positive sentiment of 44.4%, which suggests you should expect a selective process that still leaves room for improvement if you learn from the take-home feedback.
The most non-obvious pattern is that take-home work appears in the loop and is then reviewed, or followed by a specific follow-up discussion. Plan to be able to explain design decisions and performance tradeoffs, not just submit code.
The Deepgram interview process
4 stages, based on 63 candidate reports.
Recruiter screen
ShortYou talk with a recruiter about your background and alignment with Deepgram’s goals, and you also cover logistics like timelines. For some roles, the recruiter screen also explicitly assesses fit for the specific role.
Technical screen
ShortYou have a technical discussion that covers past projects and technical depth with a senior engineer or hiring manager. For some candidates, this also focuses on machine learning concepts and practical scenarios.
Take-home assignment, then review and follow-up
VariesYou complete a practical exercise, reported as implementing an ML pipeline, analyzing model performance, or solving a speech-related problem, and or building a basic application or API. This is followed by a review session and or follow-up discussions to address the take-home task and assess fit.
Role-specific case, presentation, and final interviews
VariesDepending on the role, you may do a collaborative case study, a final presentation, a final panel presentation, or a hiring manager interview. For some tracks, the process also includes an executive-level review with senior leadership, including the C-suite.
What Deepgram evaluates
How often each skill shows up across reported interview loops.
Interview guides by role
Each guide has the questions Deepgram interviewers actually ask, the loop structure, and total compensation by level.
What Deepgram pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
Insider tips
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Deepgram interview FAQ
Answered from real candidate and workplace data, marked up for rich results.
What people say about Deepgram
Verbatim snippets pulled from employee and candidate reviews.
Overall, Deepgram has a fantastic culture and research focus, though the hours can be demanding.
Deepgram offers a great culture and engaging work in the voice model and agent space, making it a gratifying place to contribute.
Be prepared for long hours at times, which can be a challenge.
Candidates should be ready for a demanding schedule but will find the intellectual environment rewarding.
The loyalty and talent of the team are the company's greatest assets, yet many employees feel undervalued despite their significant contributions.
Leadership needs to realign its approach, as the current team struggles to manage the company’s growth effectively.
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