Senior Research Scientist, LLM

Job Description

Axon is seeking a Senior Research Scientist II to contribute to addressing challenging problems in the public safety space. The role involves investigating research approaches, assessing implementation risks, and defining success metrics for AI/ML projects. The Senior Research Scientist II will collaborate with other research scientists and machine learning engineers, actively participating in the entire AI innovation lifecycle from model prototyping to deployment and continuous learning.What this role involves:

• Driving one or more phases in ML development: shaping datasets, investigating ML architectures, training/evaluating/tuning ML models, implementing end-end pipeline.
• Leveraging state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contributing back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges.

What candidate should bring:

• A Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
• 5+ years of combined academic and industrial research experience developing LLM and other NLU models.
• Experience in big data ML as well as data efficient ML that leverages techniques such as synthetic data construction, transfer learning, active learning, semi-supervised learning, few-shot learning.
• Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks (such as PyTorch and Tensorflow) and code development and review tools (such as Github).
• Experience in prompt engineering.
• Experience in finetuning ML models.
• Experience in developing LLM-based applications including agent-based systems, RAG-based systems.
• Be Familiar with NLU/LLM cloud services and APIs (such as from OpenAI).
• Deep understanding of metrics for offline and online evaluation of LLM-based systems.
• Track record of publications and contributions to the machine learning community.
• Experience with designing and shipping software products that leverage machine learning at scale.
• Excellent problem solving skills and ability to dive into learning optimization, model architecture, evaluation metrics, and field testing scenarios.
• Comfort communicating and interacting with scientists, engineers and product managers as well as understanding and translating the science of AI and Machine Learning to a more general audience.

What this role offers:

• An awesome office/working environment with the latest technologies
• Competitive salary and benefits including a great medical insurance plan for you and your family
• Free lunch, gym, phone stipend, parking
• Fun team activities and outings
• Flexible working hours
• Opportunities for training and rotations in the US
• Opportunities to ride along with real US police officers in real life situations, see them use technology, and get inspired