The Machine Learning Engineer will contribute to the design, implementation, and optimization of AI models applied to bacteriophage–host prediction and related biological datasets. This role is central to scaling our AI capabilities and ensuring efficient model deployment within production environments.

🧩 Main Responsibilities

• Train, and deploy deep learning models to predict bacteriophage–host interactions.

• Manage inference endpoints for scalable AI applications.

• Collaborate with data scientists and bioinformaticians to improve model architectures and integrate diverse datasets.

• Contribute to automation and continuous integration of ML pipelines.

• Ensure code quality, reproducibility, and maintainability following best engineering practices.

• Participate in cross-functional research projects in collaboration with the Data and Bioinformatics teams.

🌍 Why Join Us?

• Work fully remote, hybrid, or onsite in Paris

• Collaborate with talented internal teams and AWS experts

• Take ownership of infrastructure critical to pioneering biotech innovation

🎁 Our benefits :

• Healthcare 100% paid by Phagos

• Swile card (restaurant vouchers)

• RTT

• Wellpass (ex Gymlib) subscription

• Technical Skills

• Programming skills in Python

• Machine learning and deep learning (PyTorch)

• Experience with AWS services, especially SageMaker (deployment, training)

• Cloud infrastructure knowledge (S3, EC2)

• Experience with GPU distributed training

• Model optimization and performance tuning

• CI/CD, Git, Docker

• Soft Skills

• Curiosity and creativity to explore interdisciplinary challenges.

• Proactive mindset and willingness to take initiative.

• Excellent communication and collaboration with scientific and technical teams.

• Problem-solving mindset and attention to detail.

• Enjoys coding

• Transversal Skills

• Fluent in English (written and spoken).

• Interest in biotechnology, bioinformatics, or life sciences applications.

• Experience

• Minimum 1 year of XP (if relevant Phd), if not at least 2/3 years of experience

• Education

• PhD in Computer Science, Engineering, or a related quantitative discipline.

Step #1 Screening Interview with Abbas, our ML Engineer,

Step #2 Technical interview with Abbas,

Step #3 Interview with Andrea, our Head of Data & AI,

Step #4 Meet our co-founders Adèle & Alex,

Team fit : Last but not least, you will meet 5 members of Phagos, randomly picked for a Teamfit discussion, in English as our team is international. When possible, this meeting will be held in our office in Suresnes.