2020–2026 Microsoft CoreAI and AI/ML Intern OA / Interviews: 118 Experiences (Part 4 :)

This part preserves 15 Microsoft AI/ML internship reports from 2022.

Coverage: 2022 · candidate reports 035–049 · phone screens and final loops

Series note: Part 1 focuses on the CoreAI / AI-ML Software Engineering Intern loop. This part preserves other Microsoft AI/ML internship reports without treating them as CoreAI SWE evidence.

2022 reports (continued)

035: Data & Applied Sciences PhD Intern — phone or technical screen

Report date: 2022-10-11 · Role: Data & Applied Sciences PhD Intern · Stage: Phone / technical screen · Interview date: 2022-10-11

Microsoft Data & Applied Sciences PhD internship phone-screen pass report. The 30-minute call covered project blockers, difficult collaboration, motivation, graduation timing and languages, explaining the candidate's research without technical terms, and explaining deep learning to a child. The author later reported an October 31 final round and November 8 offer but did not publish the final-round questions.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Behavioral, Research, and Deep-Learning Explanation Screen.

036: Data and Applied Scientist Intern — phone or technical screen

Report date: 2022-10-10 · Role: Data and Applied Scientist Intern · Stage: Phone / technical screen

Microsoft Data and Applied Scientist Intern screen report. The 40-minute conversation was almost entirely behavioral and applied-ML/process discussion, with no coding or reusable design deliverable; all questions remain valuable Experience-article evidence.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: DAS Behavioral and Applied-ML Screen Question Set.

037: Data & Applied Sciences Intern — phone or technical screen

Report date: 2022-10-10 · Role: Data & Applied Sciences Intern · Stage: Phone / technical screen

Microsoft Data & Applied Sciences internship phone-screen report. The screen covered motivation for technology, favorite ML area, strongest programming language, explaining deep learning to a five-year-old, difficult teamwork, and overcoming a challenge. The author later reported no response and no later interview content.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Motivation, ML Preference, and Behavioral Screen.

038: Data & Applied Scientist Intern — phone or technical screen

Report date: 2022-10-07 · Role: Data & Applied Scientist Intern · Stage: Phone / technical screen · Interview date: 2022-09-26

Detailed Microsoft Data & Applied Scientist internship phone screen. Six reported questions covered collaboration difficulty, a challenging project and model choice, proudest work/impact, goals and obstacles, the generic data-science project process, and preferred DS area/team match.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Behavioral, Model-Choice, and DS-Process Screen.

039: Data & Applied Science Intern — phone or technical screen

Report date: 2022-09-22 · Role: Data & Applied Science Intern · Stage: Phone / technical screen · Interview date: 2022-09-20

Microsoft Data & Applied Science summer-intern phone-screen pass report. The half-hour call covered preferred DS areas, strongest programming language, a challenging project, explaining deep learning to a five-year-old, difficult teamwork, achieving a professional goal, favorite Microsoft product, and motivation for Microsoft. The candidate later received a final-round invitation but did not share those questions.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: DS Preference, Project, and Behavioral Screen.

040: Microsoft Research HCI / Human+AI Intern — phone or technical screen

Report date: 2022-05-05 · Role: Microsoft Research HCI / Human+AI Intern · Stage: Phone / technical screen

MSR Montreal research-intern rejection report from a third-year HCI+AI PhD. Two principal researchers conducted three research-only rounds for HCI, computational social science, and human+AI groups. The candidate said there was no coding.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: HCI and Human+AI Research Discussion.

041: Data & Applied Sciences Intern — phone or technical screen

Report date: 2022-04-27 · Role: Data & Applied Sciences Intern · Stage: Phone / technical screen

Detailed Microsoft Europe Data & Applied Sciences internship phone-screen report from an NLP master's candidate.

1. Design a Query-to-Document Information Retrieval System with Click Feedback. Design an information-retrieval system in which a user submits a query and the system returns documents. Begin with the simplest viable idea and evolve it into a more mature design. Explain how observed user clicks can be used to improve the retrieval system.

Other reported topics or limits: Resume Classification-Model Evaluation Discussion.

042: Data Scientist Intern — final interview loop

Report date: 2022-03-17 · Role: Data Scientist Intern · Stage: Final loop / onsite

Microsoft Data Scientist internship virtual-onsite report.

1. Compute the Sum of Prime Divisors. The coding task is described as computing the sum of prime divisors.
2. Implement a Model Fine-Tuning Workflow. Choose a model and write a fine-tuning process. Documentation and external libraries were allowed. The report did not preserve a reconstructable task contract.
3. LeetCode 70: Climbing Stairs. The third onsite coding task is explicitly identified as LeetCode 70.

Other reported topics or limits: Unnamed Prime, SQL, Probability, Statistics, CV, NLP, and ML Questions.

043: Data and Applied Scientist Summer Intern — phone or technical screen

Report date: 2022-02-25 · Role: Data and Applied Scientist Summer Intern · Stage: Phone / technical screen

Microsoft Data and Applied Scientist summer-intern phone-screen report. The interview covered internship history, a challenging project, private/public databases used, preferred ML/DL area, neural-network types, difficult teamwork, motivation, favorite Microsoft product, and explaining deep learning to a child. The author accepted another offer before a possible second round.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Database, ML Interest, Neural-Network, and Behavioral Screen.

044: Data & Applied Science Intern (Master's) — final interview loop

Report date: 2022-02-16 · Role: Data & Applied Science Intern (Master's) · Stage: Final loop / onsite · Interview date: 2022-02-03

Detailed Microsoft Data & Applied Science master's internship offer report for WebXT.

1. Design a Question-Answering Search Engine. Design a Question Answering system similar to a Google search engine. Explain where the data comes from. Explain how to process the data. Design ranking. Define evaluation. Discuss additional improvements.
2. LeetCode 189: Rotate Array. The fourth onsite algorithm is explicitly LeetCode 189 Rotate Array. The solution must be in place. The candidate used the double-reversal technique and had to explain why it works.
3. Unnamed O(n)-Space to O(1)-Space, One-Pass Optimization Task. The initial solution used O(n) time and O(n) space. The interviewer guided an optimization to O(1) space and then one pass. The report did not preserve a reconstructable task contract.
4. Unnamed Prefix-Sum Coding Task. The second onsite included an easy prefix-sum coding problem. The report did not preserve a reconstructable task contract.
5. Unnamed Many-Queries Trie Task. The problem involved many queries and was solved with a trie. The report did not preserve a reconstructable task contract.

Other reported topics or limits: Project, ML, Transformer, and Behavioral Questions.

045: Data & Applied Scientist Intern — final interview loop

Report date: 2022-02-15 · Role: Data & Applied Scientist Intern · Stage: Final loop / onsite · Interview date: 2022-02-11

Microsoft Data & Applied Scientist internship report. A short phone screen covered resume and behavioral topics; three initial virtual-onsite rounds plus a later added round mixed behavioral questions with SQL, Python, statistics, and ML. The added round presented a current team project and asked the candidate to explain how they would design it, but the project scenario and requirements were not shared.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Design an Unspecified Team ML Project; Unnamed SQL, Python, Statistics, ML, and Behavioral Questions.

046: Microsoft Research Security and AI Intern — phone or technical screen

Report date: 2022-02-08 · Role: Microsoft Research Security and AI Intern · Stage: Phone / technical screen · Interview date: 2022-02-03

Detailed Microsoft Research Security and AI internship offer report.

1. Generate N-Grams from a URL. Given a URL, generate its n-grams in Python. The code had to be executed immediately in the candidate's own IDE. Follow-ups asked how to encode the n-grams, avoid a sparse-matrix problem, and handle extremely frequent and extremely rare tokens.

Other reported topics or limits: Research, Embedding, and Code-Analysis Discussion.

047: Data & Applied Scientist Intern — phone or technical screen

Report date: 2022-02-03 · Role: Data & Applied Scientist Intern · Stage: Phone / technical screen

Microsoft Data & Applied Scientist internship first-round report. An HR phone screen covered teamwork, learning new technologies, one resume project, and a brief technical discussion of ways to find outliers in a dataset.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Discuss Ways to Identify Outliers in a Dataset; Behavioral and Resume-Project Screen.

048: Data Scientist Intern (Bing Dev) — final interview loop

Report date: 2022-02-03 · Role: Data Scientist Intern (Bing Dev) · Stage: Final loop / onsite · Interview date: 2022-02-03

Microsoft Data Scientist Intern pass report for a Bing development team.

1. Reverse Words in a Sentence. Reverse the order of words in a sentence. For This is it., the reported output is it. Is This.
2. Convert a String to an Integer with Overflow Detection. Convert a string to an integer. Detect overflow such as the input [removed] and throw an exception.
3. Is Graph Bipartite?. Determine whether a graph is bipartite by coloring neighboring nodes with different colors. The original author confirms this was LeetCode 785 exactly.
4. Detect a Cycle in a Linked List. Detect whether a linked list contains a cycle.

Other reported topics or limits: Behavioral, Project, Statistics, and Research Discussion.

049: Data & Applied Scientist / Data Scientist Intern — final interview loop

Report date: 2022-01-27 · Role: Data & Applied Scientist / Data Scientist Intern · Stage: Final loop / onsite · Interview date: 2022-01-20

Microsoft Data & Applied Scientist internship offer report for the E&D MLX group. Four onsite rounds mixed deep resume/project probing, DL/NLP and ML fundamentals, low-difficulty algorithmic coding, and a detailed ML case study. The author explicitly withholds every concrete question and case scenario.

1. No standalone technical prompt was preserved. This entry is retained for its process, timing, role, or interview-format evidence.

Other reported topics or limits: Withheld Detailed ML Case Study; Withheld Low-Difficulty Coding and ML/DL/NLP Questions.

Part 5 continues with the next candidate reports.