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Axon

Builds weapons, cameras and software for police

Senior Machine Learning Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • A PhD and at least 8 years of experience for the Senior Machine Learning Scientist level, in Computer Science or a related field focused on large language models, multimodal large language models, computer vision, or generative AI.
  • A record of research excellence in large language models, multimodal large language models, computer vision, robotics perception, or generative AI, demonstrated through publications in top-tier conferences or journals.
  • Proficiency in Python and C/C++, experience with TensorFlow, PyTorch, or Keras, and experience with ROS (Robot Operating System).
  • Ability to drive one or more phases of the machine learning development lifecycle, including shaping datasets, investigating modeling approaches and architectures, training, evaluating and tuning models, and implementing end-to-end training pipelines.
  • Ability to leverage state-of-the-art research to deliver high-quality models supporting multiple AI projects at scale.
  • Ability to contribute to the research community through academic publications, technical blogs, open-source code, and contributions to internal or external AI challenges.
  • Problem-solving and analytical thinking skills, and the ability to work independently and collaboratively.
  • Ability to present complex technical concepts effectively to technical and non-technical audiences.

Responsibilities

  • Own one or more key technical areas across the large language model, multimodal large language model, and computer vision product portfolio.
  • Provide technical leadership to junior scientists and guide the transition of research and development concepts into product features.
  • Research and develop techniques in large language models, multimodal large language models, generative AI, and computer vision across cloud, devices, and sensor-based data sources.
  • Design and implement efficient, scalable multimodal large language models for inference and analysis of multimodal data.
  • Explore approaches to challenges in natural language processing, natural language understanding, object detection, object recognition, object tracking, segmentation, and scene understanding.
  • Optimize AI models and algorithms for performance, memory footprint, and energy efficiency on resource-constrained devices.
  • Collaborate with machine learning engineers, firmware engineers, and hardware engineers to use hardware accelerators and optimize algorithms for specific hardware architectures.
  • Evaluate large language model, multimodal large language model, and computer vision model performance using real-world datasets, and design experiments to validate effectiveness.
  • Keep current with research and advancements in computer vision, machine learning, deep learning, multimodal large language models, and generative AI, and integrate relevant findings into projects.
  • Contribute to patent disclosures, academic publications, and technical documentation.
  • Coach and mentor junior scientists.

Desired Qualifications

  • Experience developing computer vision algorithms for resource-constrained devices such as mobile phones, Internet of Things devices, or embedded systems.

About the Company

Axon

Builds weapons, cameras and software for police

Axon builds public safety technology for police, emergency responders and security teams, combining connected devices with software that manages their work. Its TASER weapons and body cameras link field equipment to a cloud platform used throughout an investigation. Agencies use Axon Evidence to store recordings, control access and share case material with prosecutors, while its records and real-time operations tools organize reports and coordinate responses. Axon earns money from device sales and subscriptions that combine software, equipment upgrades and support over multiple years. Founded in 1993, Axon is headquartered in Scottsdale, Arizona.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Scottsdale, AZ
Founded
1993

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