Axon is seeking to advance the state-of-the-art in Multimodal Large Language Models and Computer Vision technologies for their cloud, devices, and robotics.
Requirements
- Strong proficiency in programming languages such as Python, C/C++
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
- Experience with ROS or robotic operational system
- Proven track record of research excellence in machine learning, computer vision, robotics perception
- Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems
- Strong problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment
- Experience with MLLMs, GenAI, and Computer Vision technologies
Responsibilities
- Own one or more key technical areas across CVML product portfolio
- Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources
- Design and implement efficient and scalable MLLM models for inference and analysis of visual data
- Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding
- Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices
- Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures
- Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness
Other
- PhD and with +8 year experience in Computer Science or a related field
- Excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment
- Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences
- Experience coach and mentor junior scientists
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
