Company Description
DAS Labs is an innovative company that specializes in AR gaming, innovative AR medical technology, and enterprise augmented reality solutions. Our team of AR developers is committed to delivering creative solutions that break through roadblocks and deliver breakthrough outcomes for our clients. As a Computer Vision / Machine Learning Engineer at DAS Labs, you will be at the forefront of shaping the world through augmented reality software.
Role Description
This is a full-time remote position for a Computer Vision/Machine Learning Engineer. Your responsibilities will include researching, developing, and implementing state-of-the-art computer vision and machine learning algorithms for AR software that will be used in innovative medical technology, AR gaming, and enterprise applications. You'll work collaboratively with cross-functional teams to conceptualize and implement innovative features and solutions in our AR products.
Qualifications
- 3+ years of experience in Computer Vision, Machine Learning, or related field required
- Demonstrated proficiency in programming languages such as Python, C++, Java, and MATLAB
- Experience with fine-tuning and deploying custom LLM models (Llama 3.1/3.2) on the cloud
- Experience with hosting and maintaining node based servers (AWS, Google Cloud, Azure)
- Experience with combining multiple sensor's data for enhancing indoor localization accuracy
- Experience with spatial math, 3D coordinate systems and translating between them
- Expertise in Deep Learning, Convolutional Neural Networks, and Object Detection using tools such as TensorFlow, Keras, PyTorch, etc.
- Experience with state-of-the-art 3D computer vision algorithms and techniques for object recognition, 3D reconstruction, and tracking
- Experience with image processing techniques such as filtering, feature extraction, and segmentation
- Strong mathematical skills and familiarity with linear algebra, calculus, probability, and statistics
- Experience deploying computer vision and machine learning algorithms in real-world applications
- Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field
- Demonstrated ability to work collaboratively and communicate effectively with cross-functional teams
- Experience with Augmented Reality and Virtual Reality technologies is a plus