Software Engineer (ML sector)

The Software Engineeris responsible for bridging the gap between research and industrial deployment by transforming experimental machine learning developments into robust, scalable, and maintainable production solutions. The role focuses on designing software architectures, preparing models for integration into operational environments, defining interfaces between data, models, and production systems, and promoting high standards of software quality, reliability, and engineering best practices across the organization.

Reporting Line

• Reports directly to theAI Solution Manager
• Works within the Digital Agronomy Department

We are looking for an engineer with a strong background in software design principles to join our Model Production team. In this role, you will be responsible for:

• Transforming experimental research code into robust, production-grade software architectures.
• Converting machine learning proof-of-concepts into scalable, maintainable, and reliable solutions.
• Preparing and optimizing models for integration into industrial production pipelines.
• Designing and defining interfaces between datasets, models, and production environments.
• Establishing high standards for code quality and promoting software engineering best practices across the team.
• ML Frameworks:PyTorch(proven experience in optimizing and adapting existing models)

Nice to have:

• Knowledge of tracking tools (MLflow, ClearML, etc.)
• Experience with Airflow (to understand pipelines, even if not core to the role)

Desired Profile

• Experience:Minimum 5 yearsinsoftware development, including 3 years in ML.

• Rigorous: You like clean, modular, and well-architected code.
• Outcome-oriented: You focus on delivering value.
• Collaborative: You know how to work with research and operations teams to bridge the two worlds, across distributed locations.
• Communicative: You express ideas clearly, collaborate effectively in writing and async, and enjoy working as a team.
• Leadership: You drive initiatives forward end to end.
• Languages: Fluent in French and English.

We look forward to receiving your application and exploring how you can contribute to Ecorobotix’s success

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Five Steps to Join Our Team

We've streamlined the process. No detours, no surprises. Just an honest conversation between you and us.

1

Application

You apply online and tell us why this position interests you.

2

Pre-selection

We genuinely read every application carefully, review your profile, and arrange a brief interview.

3

Interview

A first exchange to get to know each other and check alignment on values.

4

Assessment

You show us your skills. We show you how we actually work.

5

Offer

We make our decision and send you an offer within the following days.

Your benefits at Ecorobotix

Culture & Transparency

Live our values through honest feedback.

Professional Growth

Personal development & career advancement to boost your skills and ambitions.

Balance & Flexibility

Manage your time between remote work and flexible hours.

Recognition & Loyalty

Efforts valued and a sabbatical leave every 4 years.

Protection & Future

Pension plan (LPP) covered at 60%.

Ergonomic offices with complimentary coffee and fruit. Transport cost contribution.

Team Spirit

Strengthen our bonds at memorable team events.

Value Sharing

Stock Options (ESOP): become a stakeholder in our success.