Here at Aquifi, we're building innovative AI based automation solutions for Industry 4.0 using our proprietary 3D Computer Vision technology. Our small, tight-knit team has been working together for years on the merging of AI and 3D sensors. Come join us and let’s make it happen.
As a Senior ML Engineer at Aquifi you’ll be joining a dynamic team tackling real world automation problems faced by manufacturing and logistics companies around the world. You’ll help bring the latest Machine Learning techniques to our products. You’ll contribute to our current projects as well as prototyping and building new customer solutions.
Responsibilities
- Research, development and implementation of highly reliable machine learning algorithms
- Support and extend existing ML applications, and develop new applications
- Development and training of neural networks to solve unique domain problems
Skills and qualification
- B.S/M.S. in computer science or related field
- Ph.D. in Machine Learning or 3+ years experience applying neural networks and other machine learning techniques in shipping products
- Exceptional software development skills in C/C++ or Python
- Experience with CNN training and deep learning frameworks such as Tensorflow and Keras
- Excellent communication skills
Optional Skill
- Experience applying machine learning for computer vision
- 3D vision (depth estimation, 3D reconstruction, calibration) and low-level vision and image processing
- Robotics and reinforcement learning
Why us
- You will join a startup that is disrupting an incredibly large market sector
- You will be a key player of a world-class computer vision and machine learning team
- You will tackle real problems pushing the state-of-the-art of CV/ML techniques
Aquifi, Inc. is an equal opportunity employer.
It is the policy of Aquifi, Inc. to afford full equal employment opportunity to qualified employees and applicants, regardless of their race, color, religion, sex, national origin, age, physical or mental handicaps, military or veteran status, sexual preference, or any other protected condition or characteristic in conformity with all applicable federal, state and local laws and regulations.