# LinkedIn Mid-Level Machine Learning Engineer Interview Experience Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/experiences/linkedin-machine-learning-engineer-interview-2e79e7 Source observed: 2026-11-05T00:34:21.500Z Last checked: 2026-11-05T00:34:21.5+00:00 Indexed: 2026-11-06T09:36:31.32+00:00 --- # LinkedIn Mid-Level Machine Learning Engineer Interview Experience Aced (formerly Exponent) publishes interview experiences and preparation resources. This entry concerns a **Mid Level / L4 Machine Learning Engineer** interview at **LinkedIn** in **India**, conducted **onsite**. ![LinkedIn](https://exponent-static.s3.amazonaws.com/company_logos/linkedin.png) - **Result:** Rejected - **Interview date:** 2 years ago - **Timespan:** 2 weeks - **Difficulty:** Difficult - **Submitted:** 2 months ago ## Interview process The candidate described a rigorous process with **7 rounds in total**. The interviewers were experienced and helpful and provided sufficient hints. Although the feedback was described as great, the candidate felt that the hiring bar was very high and nitpicky. The listed stages were: 1. Recruiter screen 2. Phone interview 3. Technical interview 4. Final round ## Interview rounds The entry contains **5 questions across 4 rounds**. ### Recruiter screen Two questions were listed. The candidate reported questions about past work experience and linked this question: - [Why do you want to work at LinkedIn?](https://www.aced.io/questions/3370) ### Phone interview One question was listed. The visible expanded interview material describes a **45-minute** senior-interviewer session focused mostly on open-ended questions, a short follow-up near the end, and substantial pushback on tradeoffs. **Question:** How would you improve a product you use every day for a new market? **Candidate approach:** Pick a segment first, size it, compare three options, and select one option and its success metric. ### Technical interview The visible material repeats the same 45-minute open-ended format and product-improvement question described above. ### Final round The visible material repeats the same 45-minute open-ended format and product-improvement question described above. ### Interview tips Practice out loud with a timer, keep a framework ready for every round, and ask the recruiter what each interviewer focuses on so you can tailor your examples. ### Company culture Interviewers were collaborative and kept directing attention toward the user. The team appeared to value structured thinking over polish and left time for questions at the end. ## Access and contribution The remainder is available through membership, along with new experiences added weekly. [Become a member](https://www.aced.io/upgrade?src=experience). You can also [share your experience](https://www.aced.io/questions/contribute?src=experience). A **24-hour trial starts once your submission is approved**. ## More LinkedIn interview experiences - [Machine Learning Engineer — LinkedIn · Sep 2026](https://www.aced.io/experiences/linkedin-senior-machine-learning-engineer-interview-b8803d?returnPath=%2Fexperiences): “The coding round was the most tricky one, you don't know what problem you will get for the leetcode round. ML fundamentals, ML design is easy if you prepare for regular ML system designs. AI coding, do not use the cutting edge models, it takes forever to run. Make sure to downgrade your model, so it answers fast. Behavioral is pretty standard.” **3 rounds, 2 questions.** - [Senior Software Engineer, Apps — LinkedIn · Apr 2026](https://www.aced.io/experiences/linkedin-senior-software-engineer-interview-dc48e8?returnPath=%2Fexperiences): **Verified**, “The weirdest part for me was the AI coding round. They gave me a buggy maze class in HackerRank, made me use the built-in assistant, and then spent the back half probing why I trusted one AI-generated approach over the others.” **3 rounds, 6 questions.** - [Senior Associate, Strategic Finance — LinkedIn · Mar 2026](https://www.aced.io/experiences/linkedin-bizops-strategy-interview-d554d8?returnPath=%2Fexperiences): **Verified**, “The case discussions were more about me leading the entire discussion. They were more or less like a fly on the wall, monitoring how I would behave in that situation.” **4 rounds, 12 questions.** - [See all 11 LinkedIn interview experiences](https://www.aced.io/experiences?company=linkedin) ## Aced resources We provide interview courses, interview questions, interview experiences, guides, coaching, mock interviews, resume review, salary negotiation, job referrals, job boards, and company-specific preparation. Relevant course areas include Machine Learning, AI Engineering, Software Engineering, Product Management, System Design, Data Science, and Data Engineering. - Courses - Interview Experiences - Interview Questions - Coaching - Pricing Aced is operated by **Exponent Labs, LLC**. © 2026. 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