AI Research Scientist II, LLM

Summary

Join Axon and contribute to solving critical public safety issues using AI and Machine Learning. As a Research Scientist II, you will investigate research approaches, assess implementation risks, and define success metrics for AI/ML projects. You will be involved in the entire AI innovation lifecycle, from model prototyping to deployment and continuous learning. The ideal candidate has a proven scientific background and experience in developing scalable AI-based products. You will leverage state-of-the-art research to deliver high-quality models and contribute to the research community through publications and open-source contributions. You will help protect life in public safety by accelerating the adoption of Axon's technologies. Axon offers competitive salary and benefits, including medical insurance, free lunch, gym membership, and flexible working hours.

Requirements

• A Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
• 3+ years of combined academic and industrial research experience developing LLM and other NLU models
• 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
• 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

Responsibilities

• Drive one or more phases in ML development: shape datasets, investigate ML architectures, train/evaluate/tune ML models, implement end-end 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

Preferred Qualifications

• A Ph.D. Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
• Be familiar with privacy-preserving ML and ethical AI techniques
• Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments (such as AWS, Microsoft Azure and Google Cloud)
• Familiarity with IoT/Edge AI and optimizing ML models to run on-device with constrained compute, power and latency budgets
• Familiarity with multi-modal AI development

Benefits

• Competitive salary and benefits including a great medical insurance plan for you and your family
• Free lunch, gym, phone stipend, parking
• 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