Company Overview:

DailyRobotics is a tech startup company specializing in the development of cutting-edge algorithms and robotic platforms, bringing applied solutions to the agricultural industry. Utilizing the latest breakthrough technologies, our aim is to support farmers in their daily tasks to scale the production of diverse crops, with zero chemicals, and greater quality food production. Ultimately, our solution should encourage the adoption of more Regenerative Agriculture practices and sustainable farming.

We are seeking a highly motivated, talented, and experienced Deep Learning Engineer able to build a new level of intelligence for robotic learning system.

Job Overview:

The Deep Learning Engineer - Perception and Robot Learning will be responsible for developing, implementing, and integrating deep learning algorithms and models to enable perception and learning motion capabilities in our agricultural robots. The successful candidate will have a very strong background in deep learning, computer vision, and robotics, and will work closely with our robotic engineering and product development team to deploy robust and reliable perception and learning systems.

Key Responsibilities:

● Thinking, researching, inventing, and co-designing intelligent system

● Develop and implement deep learning algorithms for perception and robot learning applications.

● Collaborate with software and hardware teams to integrate deep learning algorithms into robotic systems.

● Develop and maintain data pipelines for training and testing deep learning models.

● Develop and maintain deep learning models for intelligent motion planning and vision.

● Analyze and interpret data to improve the accuracy and performance of deep learning models.

● Optimize deep learning models for efficient and reliable performance on resource-constrained robotic platforms.

● Develop technical documentation and training materials to support the deployment of deep learning algorithms on robotic systems.

Qualifications:

● Soul player with a “can-do” attitude – Essential criteria!

● Master's or PhD (or equivalent) in Computer Science, Electrical Engineering, or related field

● Minimum of 5 years of experience in deep learning, computer vision, and data science

● Strong background in computer vision, transformers, and neural networks architectures

● Proficient in programming languages, mainly Python and C++

● Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras

● Strong problem-solving skills and ability to troubleshoot complex systems.

● Ability to work independently and collaboratively in a fast-paced, dynamic environment.

● Experience in robotics and ROS – advantage.

● Experience in startup working mode – advantage.

● Experience in agriculture – advantage.

We value innovation, creativity, and collaboration, and we are looking for candidates who share these qualities. We believe that our team should work together to achieve our goals and strive for excellence in everything we do.