Machine Learning Internship

LogPhase (Berlin, Germany) is offering a Machine Learning Internship, remote. When: 6 months. Listed on UTern since September 23, 2026. Checked against the employer's posting on September 23, 2026.

Selected intern's day-to-day responsibilities include: 1. Build and extend the knowledge graph behind our M&A buyer-discovery platform: schema design, ingesting companies, deals and people, and writing the queries analysts run against it (Graphiti / Neo4j-style graph store) 2.

Write Python that pulls entities and relationships out of unstructured business news, filings and deal documents, and loads them into the graph 3. Clean up what extraction gets wrong: deduplicate companies, fix bad merges, and verify output against the source documents 4.

Run small, measured experiments on the AI components (extraction prompts, entity matching) and report results with numbers, not impressions 5. Read the docs for tools you have not used before and get them running without step-by-step instructions Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can work from 1:30 pm - 10:30 pm Indian Standard Time (as the company is based outside of India & their local work timings are 10:00 am - 7:00 pm Central European Time) • can start the work from home job/internship between 21st Sep'26 and 26th Oct'26 • are available for duration of 6 months • have relevant skills and interests Stipend: INR₹ 25,000 - 40,000 /month Deadline: 2026-10-21 23:59:59 Other perks: Certificate, Letter of recommendation, 5 days a week Skills required: Python, SQL, Natural Language Processing (NLP) and Artificial intelligence Other Requirements: • 1.

You can write and debug code. We work in Python; if you are strong in another language, show us something you have built • 2. Evidence that you learn fast is what we screen on: a self-taught project, an open-source contribution, a technical write-up, a competitive programming record, anything you shipped end to end • 3.

No prior experience with knowledge graphs, Graphiti, Neo4j or LLM tooling is required. We will teach the stack and expect you to keep pace with it • 4.

Comfortable working remotely: written updates, specific questions, and work you can explain and defend • 5. Any degree or discipline. We screen on what you have built, not where you study About Company: High end consulting for distributed systems, real time streaming systems, Agentic AI and Small language models.