Ofertas de empleo para Aprendizaje automático

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Inglés Formación Aprendizaje automático Física Aprendizaje profundo Aprendizaje Inteligencia artificial Reconocimiento de patrones Integración Robótica Python Linux Git Bash Machine Learning

Earth Rover is looking for an Artificial Intelligence Engineer to join the R&D team with a strong background in Computer Vision and Artificial Intelligence. In this role, you will be primarily responsible for developing and implementing AI models on CLAWS, our autonomous agricultural robot. Your work will involve leveraging your expertise in AI, machine learning, data science and computer vision to enhance the robot's ability to accurately recognize and distinguish plants and weeds. You will contribute to the development of advanced algorithms that enable the robot to autonomously identify and sustainably eliminate weeds, playing a key role in empowering sustainable farming.

Job Responsibilities:

• Design, implement, and optimize deep learning models for object detection, classification, and image segmentation, to identify plants and/or weeds with a strong focus on performance, and robustness in production environments.
• Continuously evaluate models, analyze failures, and iterate quickly to improve performance using real-world data from our robot CLAWS.
• Create optimal datasets for model training from data pools using data selection, labeling strategies, and data augmentation techniques.
• Collaborate with robotics and software engineers to integrate models into real-time pipelines.
• Build scalable training and validation pipelines using modern ML ops tools.
• Stay up-to-date with the latest advances in computer vision and propose improvements.
• Maintain clean, production-ready code and contribute to our internal AI libraries.

Essential experience, training or skills:

• Hands-on experience developing deep learning in computer vision. Experience on Python, C/C++, OpenCV, TensorFlow, Pytorch, Keras, Darknet.
• Solid knowledge of CNNs and transformer-based architectures (e.g. Yolo)
• Experience in edge inference on embedded computers using CUDA.
• Experience training models with custom datasets (data collection, labeling, augmentation, evaluation). Experience on dataset labelling software like CVAT or Roboflow.
• Familiarity with deployment tools like ONNX or TensorRT.
• Comfortable working with Linux, Bash, Git, and modern development workflows.
• Excellent problem-solving and organization skills and a strong ownership mentality.

Desirable, but not essential:

• Experience deploying models to edge devices (e.g. Jetson)
• Knowledge of ROS/ROS2 and integration of AI models into robotics stacks.
• Data science and BI.

Education:

• Bachelor Degree in software engineering, robotics, computer science, mathematics, physics or telecommunications.
• Master degree in artificial intelligence, robotics, data science or computer vision or professional experience in a similar position will be highly considered.

Other:

• Fluent in spoken and written English.
• Basic understanding of Spanish is desirable but not essential.
• You must have a right to work in the UK and/or Spain.

Benefits:

This role presents an opportunity to adopt a flexible hybrid working model, allowing for a balanced blend of remote and in-person work.

Other benefits include:

• Company stock options program
• Competitive salary