Computer Vision Engineer

About Myne

Myne Circular Metals is a leading company in the recycling industry, dedicated to solving the global problem of metal depletion and the environmental impacts of metal production. Leveraging creativity, perseverance, and cutting-edge technology, we are shaping the future of mining where today's goods become tomorrow's circular metals. With a team of 75 smart and driven employees in Harderwijk, the Netherlands, we generate an annual turnover of approximately 400 million euros. As we continue to develop new technologies and expand globally, our mission is to permanently change how metals are sourced at scale.

One of our key technologies is the Xorter, which converts metal waste into high-quality raw materials comparable to virgin metals, but at a lower cost. This breakthrough solution offers a true alternative to traditional recycling by avoiding downcycling and achieving circular metals. We collaborate closely with research institutions such as Delft University of Technology to enhance our capabilities. By leveraging advanced AI and robotics, we ensure high-quality metal recycling, delivering circular metals on demand, on recipe, and at the lowest cost.

Role Description

As a Computer Vision Engineer at Myne, you’ll be at the forefront of sensor (fusion) and deep learning techniques. Working within a collaborative and innovative environment, you’ll apply your expertise to solve complex challenges at the intersection of AI and robotics. We encourage a proactive and hands-on approach, where you'll have the opportunity to contribute broadly and collaborate within a multidisciplinary team.

Key Responsibilities

• Architect & Design: Develop robust computer vision and deep learning pipelines from beginning to end, ensuring efficient data handling, model training, and real-time inference for the recycling systems.

• Data Management: Design and implement data collection strategies, manage large datasets, and build efficient data pipelines for training and evaluating models.

• Model Development: Experiment with foundational models and implement and benchmark various deep learning model architectures.

• Collaborate & Innovate: Partner closely with other engineers, specialists, and research institutions to integrate sensors, explore new technologies, and continuously improve our systems.

• Own & Troubleshoot: Take ownership of computer vision components and projects, from initial concept and development through testing, deployment, and troubleshooting system issues.

What You Bring

• Technical Expertise: Proven experience with computer vision and deep learning techniques, including a strong understanding of image processing algorithms/frameworks (OpenCV, etc.) using C++/Rust, and modern deep learning frameworks (TensorFlow, Keras, PyTorch).

• Data, data, data: Hands-on experience in data collection, management, and building efficient data pipelines for training purposes.

• MLOps Proficiency: Experience with MLOps tools and concepts, including Docker, package managers, and ideally exposure to platforms like Label Studio, MLFlow or similar.

• Problem-Solving & Analytical Skills: Strong analytical and reasoning skills with the ability to visualize and present processes and outcomes. Natural curiosity and elevated observational skills are highly valued.

• Collaborative Spirit: Excellent communication and collaboration skills to effectively work within multidisciplinary teams and with external partners.

• Proactive & Adaptable: A positive attitude and the ability to thrive in a dynamic environment characterized by rapid change and a broad range of technical challenges.

What we offer

• Groundbreaking Impact: Contribute to innovative recycling technologies to maximize sustainable impact in the industry.

• Pioneering Projects: Collaborate on cutting-edge initiatives with close ties to leading research institutions.

• Circular Economy Vision: Directly contribute to our circular economy journey and implement sustainable practices that matter.

• Inclusive Environment: Be part of a collaborative and inclusive culture that values diverse perspectives and teamwork.

• Professional Growth: Access to development and growth opportunities tailored to your career aspirations.

• Flexible Hours: Choose to work 32, 36, or 40 hours a week to suit your lifestyle and commitments.

• Performance Bonus: Your contributions to our success will be recognized with a yearly bonus.

• Comprehensive Benefits: Benefit from a full commuting allowance and a solid pension plan.