Senior Computer Vision Engineer for Cattle Care remote
Senior Computer Vision Engineer for Cattle Care remote
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
At Cattle Care we use Artificial Intelligence to increase the revenue of dairy farms and decrease GHG emissions antibiotics and hormone usage. Our technology not only optimizes farm efficiency but also ensures high standards of animal welfare. We secured $3.6M in funding from serial angel investors VCs and domain experts.
Currently we are working with 119 farms monitoring 500000 cows and achieving an annual recurring revenue (ARR) of $3.0M. Our vision is to revolutionize dairy farming with the power of AI improving the lives of both farmers and cows.
Were now looking for an experienced Senior Computer Vision Engineer to help scale and optimize our video stream analysis system processing data from hundreds of farms and thousands of cameras. This is a fully handson highimpact role with complete responsibility for delivering results.
The Role
We are looking for a Computer Vision Specialist to join our team and take on the challenge of developing and optimizing video processing systems to track animal behavior particularly identifying aggression and ensuring that farming procedures are followed. With the expansion of our farm territory and camera coverage this role will be critical in solving unique challenges of generalization across different farm environments and minimizing data usage due to connectivity constraints.
As a part of our small agile team you will work directly with other experts in the field and have the autonomy to make key technical decisions. You will be involved in the full cycle of model development deployment and optimization.
Responsibilities:
System Design & Development: Design and implement the architecture for video processing and action recognition systems across diverse farm environments.
Model Development: Focus on improving object detection algorithms with an emphasis on accuracy generalization and speed optimization for detecting aggression and other critical actions.
Scalability & Deployment: Develop systems to support video analytics across 100 farms ensuring the ability to process large volumes of video data and deploy models on both edge devices and cloud infrastructure.
FullCycle Engineering: You will take the models from research to production writing productionready code and deploying it on edge devices (farm servers) as well as in the cloud. This includes selecting hardware and infrastructure setups based on farmspecific conditions.
Optimization & Efficiency: Ensure that the system works efficiently within farmspecific constraints such as bandwidth limitations and hardware restrictions to minimize the data sent to the cloud.
Collaboration: Work closely with crossfunctional teams including the technical lead and other engineers to bring new ideas and ensure that models are scalable and adaptable to different farm environments.
Skills and Experience Were Looking For:
3 years of experience in computer vision with handson experience in action recognition particularly aggression detection in video data.
Fullcycle development experience with a strong background in deploying models in production from research to deployment.
Strong productionlevel programming skills in Python TensorFlow PyTorch OpenCV (experience with YOLO is a plus but other approaches are acceptable if they deliver strong results).
Experience in video processing and object detectionparticularly in environments where realtime processing is not critical but scalability and generalization across different settings are.
Familiarity with edge/cloud infrastructure for model deployment especially in environments with limited internet connectivity and hardware constraints.
Bonus: Experience with Large Language Models or other advanced research directions.
Ideal Candidate:
You are selfmotivated able to work independently in a small focused team.
You have a proven track record in solving realworld problemsparticularly in environments like startups where resources are limited and you need to be resourceful and innovative.
You have experience in action recognition or similar areas like detecting aggression or violence in video and can apply this to new environments (like farms).
Youre comfortable with both the research and development sides of the job and can write productionready code and deploy it at scale.
Youre ready to overlap with your colleagues between 12 and 9 PM Istanbul time every day you may check the time difference via the link.
Whats in it for You
A fully remote position with the flexibility to work from anywhere.
Competitive salary with the opportunity for equity providing you with the potential for longterm wealth and growth as the company scales.
Work on an innovative application of technology in the agricultural sector specifically in dairy farming where your work will directly impact farm efficiency animal welfare and sustainability.
The chance to call yourself a cowboy or cowgirl as you work with largescale dairy operations across the US monitoring tens of thousands of cows.
Interview Process:
Fill in the application form attach your CV;
Have a Zoom interview with Hire5 Recruiter;
Have an intro meeting with one of the team members 30 minutes) Overview and general fit discussion.
Have a technical interview with the Tech Lead 1 hour) Algorithm deepdive and case study discussion.
Have a technical interview with a CV advisor 3060 minutes) Practical CV testing and problemsolving.
Have a cultural Fit Interview with the CEO 30 minutes) Discussion on values and team fit.
Offer!
Interested in joining one of the most promising US startups
Employment Type
Full Time
