Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
About the role
- Internship focused on developing advanced machine learning algorithms for quantum computing tasks. Join a diverse and dynamic team at a pioneering quantum startup in France.
Responsibilities
- Become familiar with the physical model and basic experiment design procedures
- Improve non-convex optimization techniques for estimating physical parameters
- Develop a policy network for experiment design trained on simulations
- Implement your code in a high-performance tensor library
- Test your method on Alice & Bob's quantum hardware
Requirements
- Currently pursuing a Master’s degree in machine learning, seeking a 5-6 month internship.
- Completed coursework in machine learning, optimization, and deep learning.
- You are curious about quantum dynamics and physical simulation (prior knowledge is a plus but not required).
- You are experienced in Python programming and numerical modeling. You are familiar with a tensor library (PyTorch, Jax).
- You are a curious, motivated, and proactive individual with a desire to contribute to cutting-edge research in a fast-paced environment.
- Fluency In English
Benefits
- 1 day off per month
- Half of transportation cost coverage (as per French law)
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
FI
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
MLOps Engineer developing, testing, and maintaining machine learning models at Booz Allen. Collaborating with software developers and data scientists to deliver AI - powered solutions.
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.