Augmenta is a deep-tech company serving farmers and agricultural service providers with both intuitive and actionable solutions. Our company is the first in the sector globally, combining reliability with scalability. The technology is based on edge computing, multispectral computer vision, and AI to achieve an accurate perception of the farming environment (e.g. the canopy health) and automate tasks, such as fertilizer application. Our state-of-the-art machine learning tech and carefully designed hardware operate in real-time and the system "learns" the more it's used by the farmer. A typical farmer can increase his yield up to 15%, reduce the number of chemical field inputs by up to 20% and increase the quality of his field's end-product by 15%.
About Augmenta:
At Augmenta, we’re on the mission of changing Agriculture as we know it, by providing automation and autonomy for the masses.
Augmenta’s products are currently adopted at a never-seen-before pace in more than 25 countries worldwide. Our technology is using edge computing, multispectral computer vision, and AI to perceive the farming environment (e.g., plant health, biomass, objects/patterns, weeds, etc.) and automate tasks in real-time, such as fertilizer, herbicide, and fungicide applications (among others). Our beyond-state-of-the-art hardware and software technology "learns" the more it's used by the farmer. A typical US row crop farmer can increase their yield by up to 15% while reducing the number of farm inputs by up to 70%.
We are a diverse, agile, and passionate team of top performers in different locations in Europe and the US. We care about each other, and our Culture & Values are immensely important to us. Trust is at the very heart of how we work; we have no fine print.
About our Values:
- No fine print
- Ownership
- Open & courageous communication
- Servant leadership
- Farmer First
- Think big
About the Job:
We are looking for a talented Computer Vision / Machine Learning engineer to join our perception team developing algorithms to extract localization and agronomically valuable data in real-time from multispectral cameras. You will be participating in the design of novel solutions in the areas of computer vision and robotics using both classical and ML computer vision algorithms. Your responsibilities will include:
- The development and training of Machine Learning models for computer vision problems.
- The development of classical computer vision algorithms involving calibrated cameras, stereo, and visual odometry.
- Prototyping of algorithms in Python or C++.
- Participation in the development of production-level C++ software as part of a team of talented engineers.
- Optimization of GPU-accelerated algorithms.
- Analysis of captured data to extract information useful for further product development.
Requirements
About you:
First and foremost, we need everyone willing to join us to be a team player, good communicator, humble, and aligned with our culture and values. Now about the job-specific specs:
- Minimum 3 years of professional experience working in a software team
- Proven experience working on computer vision problems
- Degree in Computer Science, Electrical or Software Engineering
- Excellent coding proficiency preferably in Python or C++
- Work experience with modern ML frameworks, preferably TensorFlow and/or scikit-learn
- Familiarity with OpenCV in a C++ environment
- Creative, analytical, and independent thinking skills
- 3D math and linear algebra skills
- Being able to comfortably work on Linux systems
Nice to have:
- Experience in GPU programming (eg. CUDA, Shaders)
- Familiarity with modern C++
- Experience with 3D computer vision, intrinsic/extrinsic camera calibration, and/or depth estimation
- Familiarity with real-time applications in embedded platforms eg. Raspberry Pi, Nvidia Jetson etc.
- Experience with the NVIDIA TensorRT library
Benefits
About what we can offer:
- A very competitive base salary with fast, results-driven raises.
- Bonus scheme.
- Transportation allowance.
- Private health insurance.
- Flexible working schedule.
- Flexibility around remote work
- Continuous Training & Development on a personal and team level.
- An open, dynamic, and cool environment in which trust is a guiding principle.
- A fun, diverse, and global team of top performers who will help you grow.
- Opportunities to travel all around the world and help us change Agriculture.
- Plenty of drinks, snacks, and Friday's happy hour in the office.
- New, open-space offices and a cool garden are used both for work and fun.
- Friendly pet-in-office policy.