Senior ML Scientist: LLM, CV & GenAI Innovator

Axon; Seattle (WA); Hybrid; USD 153,000 - 256,000; Full time

Benefits offered by this job

Competitive salary

401k with employer match

Discretionary paid time off

Paid parental leave for all

Fitness Programs

Emotional & Mental Wellness support

Snacks in our offices

Job summary

Axon in Seattle is seeking a highly skilled Machine Learning Scientist to join our AI team, focusing on LLM and Computer Vision across Cloud, Devices and Robotics. You will design, develop, and deploy cutting-edge models enabling multimodal understanding and intelligent reasoning.

The role demands strong PhD-level expertise, 5–10+ years of experience, and a track record of research excellence. You’ll collaborate with cross-functional teams, mentor junior scientists, and contribute to patents and

Qualifications

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, 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
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• 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

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, 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 multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, 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 LLM, MLLM, CV 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.

Skills

Python

C/C++

TensorFlow

PyTorch

Keras

ROS

Education

PhD in Computer Science or related field

Tools

ROS

Job description

Axon in Seattle is seeking a highly skilled Machine Learning Scientist to join our AI team, focusing on LLM and Computer Vision across Cloud, Devices and Robotics. You will design, develop, and deploy cutting-edge models enabling multimodal understanding and intelligent reasoning.

The role demands strong PhD-level expertise, 5–10+ years of experience, and a track record of research excellence. You’ll collaborate with cross-functional teams, mentor junior scientists, and contribute to patents and