ML ENGINEERING INTERN

About

Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.

With its unique and proprietary EVA foundation model dedicated to immunology, Scienta Lab leverages multimodal data to bridge the gap of translational research, accelerate the validation of new therapeutic targets and the development of personalized treatments. The company’s research activities, led in partnership with top-tier academic institutions across Europe, are regularly featured in medical journals and international congresses.

Scienta Lab is based in Biolabs Hôtel Dieu and has been selected amongst the 2023 edition of the Future 40 program which rewards the most promising startups of Station F each year. In December 2023, the company announced a seed round of € 4M from CentraleSupélec Venture and a team of world-class business angels and is thus seeking for top talents to accelerate its development. In June 2025, Scienta Lab was laureate of the EIC Accelerator program, selected as one of the most innovative deeptech startups across Europe, providing a significant funding to the company.

We are a team with diverse backgrounds in AI, Computational Biology, Immunology and pharma industry, with half the company with PhDs. Join us and be a part of our exciting journey to unravel the mysteries of the immune system!

Job Description

Scienta Lab is seeking a Machine Learning Engineering Intern to help build and scale our data, pre-training, fine-tuning, and evaluation pipelines. You will join our technical team-comprising data engineers, ML engineers, and computational biologist, and contribute to the team's day-to-day missions, including:

• Developing, maintaining, and optimizing data flows, models, and ML pipelines
• Turning scientific and technical innovations into robust software components
• Integrating ML models and algorithms with our product backend and internal APIs
• Running and monitoring ML experiments, ensuring reproducibility and efficiency
  
  

Preferred Experience

• Master's student (or equivalent) with strong ML or software engineering background
• Proficient in Python and modern ML frameworks (PyTorch, HuggingFace…)
• Experience with training and evaluating deep learning models at scale
• Strong problem-solving and experimental design mindset
• Comfortable working independently on exploratory, open-ended projects
• Curious about intelligent systems, reasoning, and automation
• Thrives in a fast-paced, research-driven environment
• Fluent in English (written and spoken)
  
  

Recruitment Process

• Screening interview (~45 min with the hiring manager)
• Technical homework + interview (~4h + 1h with 2 tech team members)
• Fit interview (~1h with Scienta Lab founders)
  
  

Additional Information

• Contract Type: Internship (Between 6 and 6 months)
• Location: Paris
• Education Level: Master's Degree
• Occasional remote authorized