ML Engineer - Generalization Bounds for DL Library

inria; France; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Partial reimbursement of public travel

Teleworking possible

7 weeks annual leave + RTT days

Professional equipment available

Job summary

Inria, the French national research institute for the digital sciences, is seeking a Machine Learning Engineer to design and develop a Python software library for evaluating generalization bounds in deep learning. The role sits within ERC Starting Grant DYNASTY and may involve conference travel.

You will bridge theory and practice by building a modular, efficient framework and performing empirical verification.

Qualifications

• Strong Python programming skills and experience with PyTorch.
• Solid understanding of machine learning and deep learning.
• Experience in scientific software development, testing, and version control.
• Familiarity with statistical learning theory and generalization bounds is a plus.

Responsibilities

• Design and develop a Python software library for evaluating generalization bounds in deep learning.
• Bridge theoretical learning theory and practical deep learning through a modular framework.
• Conduct experiments for empirical verification.
• Write scientific articles and disseminate work at venues.
• Collaborate with researchers and translate math into reliable software.

Skills

Python programming

PyTorch

Machine learning

Deep learning

Research collaboration

Tools

Git

Scientific software development

Job description

Inria, the French national research institute for the digital sciences, is seeking a Machine Learning Engineer to design and develop a Python software library for evaluating generalization bounds in deep learning. The role sits within ERC Starting Grant DYNASTY and may involve conference travel.

You will bridge theory and practice by building a modular, efficient framework and performing empirical verification.