Internship - Machine Learning Engineer This is a conversion-oriented internship designed for candidates aiming for a full-time ML engineering role.
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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.
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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.
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Our Team Machine
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Learning &
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- 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 Do?Depending on your profile and interests, you could be placed on one of two flagship tracks: Track 1.
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AI for Financial Services: You'll work on Machine Learning solutions for one of the most data-rich industries in the world. Problems you might tackle include prediction models, document analysis with ML, fine-tuning LLMs for conversational data interfaces, and extracting actionable insights from large-scale datasets. Track 2.
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Computer Vision for Pharma: You'll contribute to Computer Vision pipelines deployed in pharmaceutical environments, think 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 roleyou'll be expected to contribute from day one.
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What You Will
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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 We use a mix of modern tools and languages. You'll have the chance to explore and work with technologies like these: Languages: Python, SQLML Frameworks: Py Torch, XGBoost API Frameworks: Fast APIDatabases: Snowflake, Postgres Cloud: Azure, AWSHow We Work?We're a small team, everyone is expected to communicate clearly, move fast, and take ownership.
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Communication
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We run one short standup each morning align on daily priorities.
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Everything else lives in writing: project documentation on Linear and Git Hub, async conversations on Slack with dedicated channels per team and project. Rhythm &
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- Organisation We work in weekly sprints, so priorities are always clear and nothing drags.
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Every
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Friday we run a retrospective, an open conversation about what's working and what isn't.
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Compensation 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. Here's what that typically looks like: Internship → Full-Time Conversion Most interns transition to a permanent contract within 3 to 6 months.
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The strongest performers make the jump in as little as 2 months. We don't believe in making people wait if the fit is clear.
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Starting
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Compensation (Full-Time)RAL: €33,000 gross, CCNL Metalmeccanico level C1 Salary progression: +10% at each career level Salary reviews: it happens every year Project bonuses: awarded on delivery and client impact Year-end premio: a awarded for outstanding team performance We're a fast-growing company. If you perform, you'll be rewarded quickly and visiblynot in three years after your annual review cycle.
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Remote
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Work &
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- 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).
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Working hours: Monday–Friday: 8:30 – 17:30 CETLunch: 13:00 – 14:00 (flexible)Selection 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.
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Technical
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Interview (30-40 min):