Machine Learning Engineer Intern To Full-Time Engineer

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 – You’ll work on Machine Learning solutions for the most data‑rich industry, tackling prediction models, document analysis, fine‑tuning LLMs for conversational data interfaces, and extracting actionable insights from large‑scale datasets.
• Track 2. Computer Vision for Pharma – You’ll contribute to Computer Vision pipelines deployed in pharmaceutical environments, tackling object tracking, behaviour understanding, and solving complex real‑world problems with 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

• Languages: Python, SQL
• ML Frameworks: PyTorch, XGBoost
• API Frameworks: FastAPI
• Databases: Snowflake, Postgres
• Cloud: Azure

How We Work

• Communication: One short standup every morning, all documentation via Linear and GitHub, async conversations on Slack.
• Rhythm & Organisation: Weekly sprints, retro each Friday, 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

This internship is not a dead end; it’s the front door. We hire interns with the explicit intention of converting them into full‑time engineers. Most interns transition to a permanent contract within 3 to 6 months; the strongest performers may do so in as little as 2 months.

• Starting Compensation (Full‑Time):
  • 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; you may work from anywhere in Italy. If you prefer, you can 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): Company and role presentation, alignment on expectations.
• Interview with CEO (15 min): Final Q&A, alignment on project.
• Technical Interview (30–40 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode‑style questions.

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: You’ll hit the ground running with a brand new MacBook 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 for strategy, team building, and good craic.
• Time Off: 20 days of paid holiday per year, 8 public holidays, 104 hours of additional permitted leave per year.

Machine Learning Engineer Intern to Full-Time Engineer • ancona, marche, it