Machine Learning Engineer Intern

Waiv, formerly Owkin Dx; Paris; On-site; EUR 8,900 - 16,000; Part time

Benefits offered by this job

Swile tickets restaurants

Commuting allowance and/or biking

Friendly working environment

International team with high technical

Job summary

Waiv is building the world's leading AI diagnostic product for clinical routine. As a Machine Learning Engineering Intern, you will contribute to advancing AI in life sciences and help build robust ML pipelines for medical data analysis, working with histology images and cancer diagnostics.

You will collaborate with data scientists, ML engineers, product managers and software engineers, design and train models, validate them, and help translate research into production-ready solutions in an

Qualifications

• Pursuing a Master’s degree in a relevant field and strong programming skills.
• Proficient in Python; experience with ML frameworks and medical imaging is a plus.
• Good communication and collaboration abilities; fluent English.

Responsibilities

• Collaborate with data scientists, ML engineers, PMs and software engineers.
• Support design, training and integration of ML models for medical images.
• Contribute to development and validation of AI models for clinical use.
• Help build scalable ML pipelines for production environments.
• Establish evaluation/monitoring methodologies for model performance.
• Translate advanced research into practical, production-ready solutions.

Skills

Python

PyTorch

AWS

English

Deep learning basics

Medical imaging

Communication

Collaboration

ML engineering

TensorFlow

Education

Master's degree in Computer Science

Tools

PyTorch

TensorFlow

AWS

Job description

About us

Waiv, a spin-out of Owkin, exists to catalyze precision medicine with clinical-grade, AI-powered tests that accelerate biomarker discovery and detection, outcome prediction, and treatment-response assessment across oncology. Built on over seven years of validated medical-AI innovation and one of Europe’s largest multi-institutional data networks, we deliver precise, accurate, and fast analyses that support treatment decisions. Through our industry-leading tech and AI stack, and clinically validated, already-deployed AI tests, such as RlapsRisk BC, we unlock morphological insights and future-proof both the clinical diagnostic workflow and pharmaceutical R&D pipelines, to ultimately bring scalable precision medicine to patients worldwide. www.wearewaiv.com

What we offer

• Swile tickets restaurants
• Commuting allowance and/or biking allowance
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds

About the role

As a Machine Learning Engineering Intern, you will contribute to advancing AI in life sciences and help build the world's leading AI diagnostic product for clinical routine. You will support the design, training, and integration of cutting-off models working with medical images, particularly histology slides, which are cornerstone to cancer diagnosis. You'll work at the intersection of AI research and production systems, contributing to robust ML pipelines for medical data analysis. You'll gain hands-on experience balancing applied research with practical engineering, helping shape pipeline to analyze data, and model developement. You'll work directly with the Machine Learning Engineering team under the supervision of an ML Engineer, and collaborate with the Data Science team.

In particular, you will:

• Collaborate within a multi-disciplinary team of data scientists, machine learning engineers, product managers, and software engineers.
• Support the research, design, and development of machine learning models tailored to complex and large-scale imaging datasets.
• Contribute to the development of our proprietary ML libraries & workflows in collaboration with the R&D team.
• Contribute to the development and validation of new AI models.
• Participate in the implementation of industrial-scale AI pipelines for medical data analysis, ensuring robustness across production environments.
• Assist in establishing evaluation and monitoring methodologies to ensure model performance, reliability, and interpretability in production.
• Help translate state-of-the-art research into practical solutions.

You will specifically contribute to develop tools to help make our models more robust.

About you

• Strong scientific curiosity and creativity with an applied mindset.
• Interest in machine learning engineering and development.
• Basic understanding of deep learning architectures (foundation models, transformers, vision models, etc.).
• Familiarity with basic evaluation metrics of deep learning models.
• Having worked with Medical Images is a plus.
• Good programming skills (Python, PyTorch or TensorFlow).
• Excellent communication and collaboration skills.
• Fluent English, both written and spoken.
• Currently pursuing a Master's degree in Computer Science, Software Engineering,Machine Learning, Data Science, or related field.
• Stack: Python, PyTorch, AWS.

Waiv is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.