We are a team gathered around an internally incubated project at Stey, focused on product development in precision livestock farming. Our mission is to make life easier for farmers and increase farms productivity by video surveillance and cutting-edge computer vision approaches along with various IoT sensors for precision livestock farming.

Concretely: We are building a platform where every animal on a farm is accounted for, by monitoring health and behavioural changes in individual animals, performing multi-animal tracking in real-time and automated weight measurements.

We are looking to hire machine learning engineers of all seniority levels.

Salary range:

Junior: 2.5-3.5k USD per month

Mid-Senior: 3.5-5.5k USD per month

Location : We are a globally distributed team and accept remote employees anywhere in the world, physical operations are located in Beijing, China such that work hours are between 10AM-7PM GMT+8 (some overlap is required). We are also happy to hire in person in Portugal (Grande Porto region) with a hybrid onsite-remote option.

Junior Machine Learning Engineer - Computer Vision

We are looking for a Junior Machine Learning Engineer with interest and experience in at least one of computer vision tasks for: object detection, instance segmentation, pose estimation or MOT (multiple object tracking). As a part of our team, you will be responsible for implementation of the SOTA algorithms that can help us tackle the most complex challenges in computer vision.

Key Responsibilities

• Prepare, annotate, validate and quality control datasets for precision livestock farming from raw videos from an actual farm.
• Implement SOTA models for computer vision tasks such as object detection, instance segmentation, pose estimation and multiple object tracking. You will be working with our team to experiment with different approaches and measure model performance for accuracy, speed, and efficiency, while also improving their scalability and generalization capabilities.
• Work closely with rest of the team to productionize models. This includes integrating models with our existing systems, testing them at scale, and making sure they work as expected in real-world scenarios.

Ideal Profile