Axon

Axon

Senior Machine Learning Scientist

Scottsdale, Arizona, United States · Senior

Sponsorship not specifiedDetected 11 hours ago
PythonC++AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsComplianceIntellectual PropertyEmbedded SystemsRoboticsResearchLeadershipCommunicationCollaborationProblem Solving

About the role

  • We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software.
  • Like our products, we work better together.
  • Life at Axon is fast-paced, challenging and meaningful.

Responsibilities

  • Own one or more key technical areas across LLM, MLLM, CV product portfolio.
  • Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
  • 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.
  • 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.
  • Here, you'll take ownership and drive real change.

Requirements

  • PhD and with +5 years for ML Scientist, +8 years for Sr.
  • 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.
  • 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.
  • Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off

Compensation

  • Competitive salary and 401k with employer match

Benefits

  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • 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.

Company info

  • US: Seattle, Boston, Scottsdale
  • At Axon, we're on a mission to Protect Life.
  • We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Visa & Work Authorization

  • ardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status

This listing is sourced directly from Axon's careers page and normalized into a canonical job model.