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Sr AI Research Scientist, LLM

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Sr AI Research Scientist, LLM

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Axon is on a mission to Protect Life, focusing on critical safety and justice issues through their devices and cloud software. The Sr AI Research Scientist will investigate and implement AI/ML projects, working collaboratively to drive the entire AI innovation life cycle from model prototyping to deployment. 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. Qualifications: Required: • A Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field • 5+ years (3+ years for PhD) 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. Preferred: • 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. Company: Axon provides electronic control devices to law enforcement and corrections agencies. Founded in 1993, the company is headquartered in Scottsdale, Arizona, USA, with a team of 1001-5000 employees. The company is currently Public Company. Axon has a track record of offering H1B sponsorships. Seniority level

Seniority levelMid-Senior level Employment type

Employment typeFull-time Job function

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