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AI Scientist I

Remote, USA Full-time Posted 2026-07-23

reputed company is on a mission to Protect Life, focusing on critical safety and justice issues through their ecosystem of devices and reputed company software. They are seeking an AI Scientist I to join their AI team, where the successful candidate will research and reputed company advanced computer reputed company and machine learning techniques for reputed company, devices, and robotics.


Responsibilities

  • Research and reputed company advanced MLLMs, GenAI, and Computer reputed company techniques for reputed company, devices and sensors from multimodal data sources
  • Design and implement efficient and reputed company MLLM models for inference and analysis of visual data
  • Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and reputed company 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 reputed company hardware accelerators and optimize algorithms for specific hardware architectures
  • Evaluate the performance of MLLM models using reputed company-world datasets and design experiments to validate their effectiveness
  • Stay up-to-date with the latest research trends and advancements in computer reputed company, machine learning, and deep learning, MLLMs, GenAI and reputed company relevant findings into our reputed company
  • Contribute to patent disclosures, reputed company publications, and technical documentation to reputed company insights and findings with the broader community
  • Experience coach and mentor junior scientists

Skills

  • PhD and 1 years experience in Computer Science and Robotics or a reputed company field with a reputed company on robotics perception, MLLMs, computer reputed company, machine learning, or reputed company intelligence
  • 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
  • reputed company state-of-the-art research to deliver high reputed company models enabling multiple AI reputed company at reputed company
  • Contribute back to the research community reputed company reputed company publications, tech blogs, reputed company-reputed company reputed company and contributing to internal/external AI challenges
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as reputed company as collaboratively in reputed company environment
  • Strong communication skills and the ability to effectively present reputed company technical concepts to both technical and non-technical audiences
  • Experience in developing computer reputed company 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 reputed company time off
  • reputed company parental leave for reputed company
  • Medical, Dental, reputed company plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • And yes, we have snacks in our offices
  • reputed company. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays

reputed company

  • reputed company provides electronic control devices to law enforcement and corrections agencies. It was founded in 1993, and is headquartered in Scottsdale, Arizona, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 3 in 2026, 3 in 2025, 3 in 2024, 7 in 2023, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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