End of study internship : MLOps

Villeurbanne, Auvergne-Rhône-Alpes, France

Interns/Temp

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Overview

Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally. Explore your interests, share your ideas, and bring them to life while shaping your career path within our inclusive culture that fosters innovation and collaboration. Engineer your future with us!

Job Description

Category Interns/Temp Hire Type Intern Job ID 13491 Remote Eligible No Date Posted 26/11/2025

Internship MLOps: migration of an existing ML model prototype to PyTorch (local + cloud)

Introduction: We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide - and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement: Our mission is to fuel today’s innovations and spark tomorrow’s creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive - both at work and beyond.

What You’ll Be Doing:

Migrate the prototype of an acoustics anomaly‑detection Machine Learning model from TensorFlow to a PyTorch ecosystem, analyzing technical gaps and trade-offs.
Design and implement a reproducible and traceable training pipeline. In a first time for local us (GPU/CPU), and then in the cloud, with experiment tracking (e.g., MLflow).
Study and prototype a training pipeline that can be executed on the user side within a constrained local environment.
Assess volumetric and infrastructure implications, including scalability, costs, artifact storage, and orchestration.
Contribute to the establishment of a complete MLOps framework: instrumentation, packaging, workflow robustness, and industrialization.

What You’ll Need:

Currently pursuing a master level degree in Computer Science, Software Engineering, Data Science, or a related field in the penultimate or final year of study.
Strong foundations in Python.
Knowledge of PyTorch and a solid understanding of training workflows.
Familiarity with Docker, cloud platforms (Azure/AWS), experiment tracking, and reproducibility best practices.
Experience or interest in MLOps tools (MLflow or equivalent), CI/CD workflows, and artifact management.
Rigor, attention to structure and automation, and ability to synthesize, document, and formalize technical decisions.
Curiosity, autonomy, and a collaborative mindset within an R&D team.

Key Program Facts:

Program Length: 6-month internship
Location: Lyon area (Villeurbanne), France
Working Model: In office
Full-Time/Part-Time: Full-time
Start Date: March or April 2026

Equal Opportunity Statement:

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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Hiring Journey at Synopsys

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As an applicant your resume, skills, and experience are being reviewed for consideration.

Phone Screen

Once your resume has been selected a recruiter and/or hiring manager will reach out to learn more about you and share more about the role.

Interview

You will be invited to meet with the hiring team to measure your qualifications for the role. Our interviews are held either in person or via Zoom.

Offer

Congratulations! When you have been selected for the role, your recruiter will reach out to make you a verbal offer (a written offer will follow your conversation), and we hope you accept!

Onboarding

There will be some steps you need to take before you start to ensure a smooth first day, including new hire documentation.

Welcome!

Once you’ve joined, your manager, team, and a peer buddy will help you get acclimated. Over the next few weeks, you’ll be invited to join activities and training to help you ramp up for a successful future at Synopsys!

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