Job Description
Axon is seeking a Senior Machine Learning Scientist II to join their AI team. This role focuses on AI applications in Cloud, Devices, and Robotics. The Senior Machine Learning Scientist II will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs) and Computer Vision technologies. They will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data.
What this role involves:
- Owning key technical areas across the CVML product portfolio.
- Providing technical leadership to junior scientists.
- Researching and developing cutting-edge techniques in MLLMs, GenAI, and Computer Vision.
- Designing and implementing efficient and scalable MLLM models.
- Exploring novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
- Optimizing algorithms for performance, memory footprint, and energy efficiency.
- Evaluating the performance of MLLM models using real-world datasets.
- Staying up-to-date with the latest research trends and advancements.
- Contributing to patent disclosures, academic publications, and technical documentation.
- Coaching and mentoring junior scientists.
Requirements:
- PhD with +8 years experience in Computer Science or a related field.
- Proven track record of research excellence in machine learning, computer vision, robotics perception.
- 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.
- Experience in developing computer vision algorithms for resource-constrained devices is highly desirable.
- Excellent problem-solving skills, analytical thinking, and the ability to work autonomously.
- Well-developed communication skills.
What this role offers:
- Competitive salary
- 401k with employer match
- Discretionary paid time off
- Paid parental leave
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs