Machine Learning Scientist II

Summary

Join Axon and be a Computer Vision and Machine Learning Scientist focusing on AI applications in Cloud, Devices, and Robotics. Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal 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. Collaborate with engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate MLLM model performance using real-world datasets. Stay up-to-date with the latest research trends and integrate relevant findings into projects. Contribute to patent disclosures and publications. The position offers remote work from Vietnam or a hybrid option in Ho Chi Minh City.

Requirements

• PhD and with +2 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence
• Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences

Responsibilities

• Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal 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 force 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
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community
• Experience coach and mentor junior scientists

Preferred Qualifications

Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable

Benefits

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs