AI & ML Intern — Production-Ready Solutions

Talanto; Paris; Hybride; EUR 32 000 - 77 000; Plein temps

Avantages offerts par ce poste

Relocation support

Mentorship program

In-person intern cohort

Company social events

Résumé du poste

Talanto is seeking an Applied Science Intern to join a cross-functional team building AI-powered features on the platform. You will help improve ML models, develop new AI capabilities, and bring research into production, learning to deploy AI systems at scale.

The role emphasizes collaboration with engineering and product partners in a hybrid workplace, with relocation support where applicable and an in-person intern cohort with mentorship and community groups.

Qualifications

• Graduating in 2027 with a degree in ML, AI, Statistics, Computer Science, or a related field.
• Experience building machine learning models through coursework, research, internships, or personal projects.
• Strong programming skills and willingness to learn new languages and technologies.
• Ability to communicate complex technical concepts clearly to diverse audiences.
• Interest in AI, ML, and data-driven product development.
• Available for a 6-month internship starting Feb–Jun 2027.

Responsabilités

• Design AI solutions by researching state-of-the-art models.
• Build scalable features using generative AI and ML algorithms.
• Develop, deploy, monitor, and maintain production AI models and services.
• Analyze large-scale observability data from systems.
• Share knowledge by presenting recent research and exploring new model architectures.
• Collaborate with engineering and product teams to productionize AI solutions.

Connaissances

ML Models

Programming

Communication

Teamwork

Formation

ML/AI/Statistics/CS degree

Description du poste

Talanto is seeking an Applied Science Intern to join a cross-functional team building AI-powered features on the platform. You will help improve ML models, develop new AI capabilities, and bring research into production, learning to deploy AI systems at scale.

The role emphasizes collaboration with engineering and product partners in a hybrid workplace, with relocation support where applicable and an in-person intern cohort with mentorship and community groups.