Senior Machine Learning Engineer

Paris /
Machine Learning /
/ Hybrid
Who we Are:

At FarmWise, we harness the power of AI, Deep Learning, and Robotics to find solutions to food production challenges to help growers thrive in this new farming era. We work hand-in-hand with growers to understand their constraints, address their priorities, and build innovative products that are changing their lives, and our food supply, for the better.
We’re a diverse team of analytical problem-solvers who are deeply motivated by our shared values and desire to work together to overcome big challenges. We value open communication and a dedication to self-improvement.
The French office builds AI algorithms for FarmWise machines and a data platform for farmers. You will be part of a growing team of highly motivated engineers passionate about AgTech . You will have the opportunity to travel to California to familiarize yourself with the US agriculture ecosystem.

As a Senior ML Engineer at FarmWise, you will design and implement deep learning algorithms for plant detection and localization of our weeding robot.

If you are interested in working on technology that will have a big impact on agriculture, come join us!

About the Work

    • Drive high-level algorithm decisions on perception algorithms such as object detection, object tracking, and segmentation
    • Design and implement state-of-the-art vision algorithms that work in a real-life environment
    • Oversee the entire model development cycle by working from prototyping to deployment
    • Develop and implement readable, maintainable and efficient production-ready code in Python

About You

    • 5+ years of professional experience building and maintaining production grade machine learning systems and at least 2 years of professional experience on Computer Vision related projects
    • Proficient knowledge of Deep Learning Frameworks (Tensorflow / PyTorch)
    • Strong programming skills, particularly in Python
    • Proficient in software development best practices: code reviews, version control, and testing
    • Strong background in deep learning and computer vision
    • Ability to read, understand and implement research papers
    • Experience with cloud computing services (AWS or GCC) and Linux development environments
    • Willingness to learn and expand your skills beyond your zone of comfort
    • Experience implementing real-time algorithms on GPU/CPU is a plus
    • Experience with robotics environments is a plus

What we Offer

    • Work with experts in their field who are passionate about having an impact on the world
    • A hybrid-remote work policy (in-office two days a week)
    • Be part of an international team and visit offices in California and Arizona

Hiring Process

    • 1/ HR Interview
    • 2/ Technical Interview + Coding Challenge
    • 3/ In person (or Video) interviews with various team members

*Please submit your resume in English*