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Senior Machine Learning Scientist

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Axon

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Location:
United States , Seattle

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Contract Type:
Not provided

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Salary:

290250.00 - 500400.00 USD / Year

Job Description:

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • 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
  • snacks in our offices

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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