Machine Learning Engineer Intern To Full-Time Engineer

Machine Learning Engineer Intern to Full-Time Engineer Gemmo AI•bolzano, trentino alto adige, it

Machine Learning Engineer Intern → Full-Time Track

This is a conversion-oriented internship designed for candidates aiming for a full-time ML engineering role.

About Us

Do you think Artificial Intelligence is changing the world? So do we. At Gemmo, we don’t just build models: we help Fortune 200 companies like Novartis and Broadridge harness the power of AI to generate real, measurable impact. 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

What You’ll Do

At Gemmo, interns work on real production projects, not toy datasets or internal tools. Depending on your profile and interests, you could be placed on one of two flagship tracks:

• Track 1: AI for Financial Services – Work on Machine Learning solutions for one of the most data-rich industries in the world. Problems include prediction models, document analysis with ML, fine-tuning LLMs for conversational data interfaces, and extracting actionable insights from large-scale datasets.
• Track 2: Computer Vision for Pharma – Contribute to Computer Vision pipelines deployed in pharmaceutical environments, featuring object tracking, behaviour understanding, and solving complex real‑world problems with nothing but a camera and a well‑trained model.

Both tracks involve close collaboration with senior engineers and direct exposure to enterprise clients. This is not a support role you’ll be expected to contribute from day one.

What You Will Learn

• 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

• Python, SQL
• PyTorch, XGBoost
• FastAPI
• Snowflake, Postgres
• Azure

How We Work

• Communication: Standup every morning, documentation on Linear and GitHub, async conversations on Slack with dedicated channels per team and project.
• Rhythm & Organisation: Weekly sprints, Friday retrospectives, monthly townhall.

Compensation

• €830 gross/month (€5,000 gross total over 6 months)
• Contract type: Collaborazione Occasionale
• High non-cash value (mentorship, fast promotion, relocation fully covered)
• Duration: 6 months, with a 1-month trial period
• Relocation bonus: €3,000 gross, paid in three instalments of €1,000 each to support your move to Milan
• Monthly travel reimbursement: up to €370

Career Path

Internship → Full-Time Conversion most interns transition to a permanent contract within 3 to 6 months.

• RAL: €33,000 gross, CCNL Metalmeccanico level C1
• Salary progression: +10% at each career level
• Salary reviews: annually
• Project bonuses: awarded on delivery and client impact
• Year-end bonus: awarded for outstanding team performance

Remote Work & Schedule

This is a remote position, and you are free to work from anywhere in Italy. However, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan).

Working hours: Monday-Friday: 8:30 - 17:30 CET, Lunch: 13:00 - 14:00 (flexible).

Selection Process

• Interview with CTO or Senior Engineer (15 min)
• Interview with CEO (15 min)
• Technical Interview (30-40 min) – discussion on ML principles and system design (no whiteboard or Leetcode questions)

Total timeline: 3 to 4 weeks.

Requirements

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

Nice to Have

• Experience interacting with LLMs (GPT, Claude, Gemini) via API calls
• Experience running Machine Learning inference jobs with PyTorch or ONNX

Benefits

• Equipment: Brand new MacBook Pro M5 14” (you can use it from day one)
• Travel: Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ.
• Time Off: 20 days of paid holiday per year, 8 public holidays, 104 hours of additional permitted leave per year.