Research Scientist II

The role

You will research and develop AI applications including LLM, MLLM, Computer Vision, and GenAI. You will design and deploy models for cloud, devices, and robotics to enable intelligent reasoning and perception.

What you will do

• Own key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists.
• Research and develop techniques in LLM, MLLMs, GenAI, and Computer Vision.
• Design and implement efficient and scalable MLLM models.
• Explore approaches for NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models for performance, memory footprint, and energy efficiency.
• Collaborate with MLEs, firmware, or hardware engineers to leverage hardware accelerators.
• Evaluate model performance using real-world datasets.
• Stay up-to-date with latest research trends and integrate findings.
• Contribute to patent disclosures, academic publications, and technical documentation.

Required qualifications

• PhD in Computer Science or a related field.
• +5 years for ML Scientist experience or +8 years for Sr. ML Scientist experience.
• Focus in LLM, MLLMs, Computer Vision, GenAI.
• Research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI demonstrated through publications.
• Proficiency in Python and C/C++.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with ROS or robotic operational system.
• Ability to drive ML development lifecycle phases.
• Ability to leverage state-of-the-art research to deliver models at scale.
• Ability to contribute to the research community via publications, blogs, or open-source code.
• Excellent problem-solving and analytical thinking skills.
• Strong communication skills.

Nice to have

• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems

Benefits

• Medical, Dental and Vision Insurance
• Robust Paid Time Off policy
• Bonuses
• Lunch allowance
• Cell phone stipend
• Free LinkedIn Learning account or Udemy account
• Access to 24/7 online emotional and mental support
• Gym membership
• Free parking
• Stocked fridges and pantries - free coffee, cold beverages, snacks
• Annual Company Outing Trip
• Monthly team social activities

Before you apply

• Some roles may also require legal eligibility to work in a firearms environment.

About the company

Axon is on a mission to Protect Life using an ecosystem of devices and cloud software. They pursue critical safety and justice issues through research and development.