Role overview
Internship - Machine Learning Engineer
This is a conversion-oriented internship designed for candidates aiming for a full-time ML engineering role.
About Us
We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.
Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences.
At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.
We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.
Our Team
- Machine Learning & Engineering: 14 people, including 4 Ph.D.s
- Business & Strategy: 3 people
- Leadership: 2 people
A lean, technical-first team and we're growing. We're looking to add 5 new tech roles before the end of the year
What you'll work on
- Build Machine Learning models with financial data
- Design, build, and maintain CRUD APIs to interact with users and serve the models
- Deploy, monitor, and maintain applications in Azure and Snowflake
Tech Stack
We use a mix of modern tools and languages. You’ll have the chance to explore and work with technologies like these:
- Languages: Python, SQL
- ML Frameworks: PyTorch, XGBoost
- API Frameworks: FastAPI
- Databases: Snowflake, Postgres
- Cloud: Azure, AWS
What we're looking for
Mandatory
- Experience with training custom ML models using PyTorch and XGBoost;
- Familiarity with API development;
- Good understanding of relational databases and experience with querying and managing data;
- Knowledge of version control systems (e.g., Git);
- B2+ English proficiency;
- Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
- Experience with running Machine Learning inference jobs with PyTorch or ONNX
*Benefits
Equipment**: You'll hit the ground running with aMacBook Pro M5 14" yours to use from day one.
Travel: Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ.
Interview process
We keep it fast, respectful, and transparent.
- Interview with CTO or Senior Engineer (15 min): Company and role presentation, alignment on expectations.
- Interview with CEO (15 min): Final Q&A round, alignment on project.
- Technical Interview (30-40 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode-style questions.