Senior Multimodal AI Research Scientist (Video & Agents)

University of Georgia- FACS; Seattle, Northern (WA, KY); Hybrid; USD 160,000 - 256,000; Full time

Benefits offered by this job

Competitive pay

401k match

Discretionary PTO

Parental leave

Health (Medical) Vision Dental

Wellness programs

Learning & Development

Office snacks

Job summary

Axon is seeking a Senior AI Research Scientist to advance agentic multimodal AI, focusing on video understanding and scalable inference across cloud and devices. You will lead end-to-end research, collaborate with product teams, and publish insights to push the state of the art.

The role involves mentoring junior scientists, shaping research directions, and translating findings into Axon products with a strong emphasis on responsible AI and privacy.

Qualifications

• PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
• Proven track record of applied research and/or production impact in multimodal learning, video-language modeling, retrieval systems, foundation models, agentic systems, or RAG architectures.
• Experience owning and driving the ML development lifecycle from problem definition and data strategy through model development, evaluation, deployment, and iteration in production environments.
• Experience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge.
• Strong understanding of video analysis and temporal modeling as well as computer vision fundamentals and trade-offs.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Responsibilities

• Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
• Lead end-to-end research efforts in AI-assisted universal search of and reasoning over large multimodal data with an emphasis on video understanding.
• Advance related computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
• Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
• Develop performance and quality metrics for agentic multimodal reasoning models and systems, and validate their effectiveness in real-world settings.
• Stay up-to-date with the latest research and advances in agentic AI, machine learning and computer vision and translate relevant findings into shipping Axon products.
• Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
• Coach and mentor junior scientists.

Skills

Multimodal ML

Video understanding

Agentic reasoning

Retrieval systems

RAG architectures

Embeddings

Python

PyTorch

TensorFlow

Keras

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Keras

Job description

Axon is seeking a Senior AI Research Scientist to advance agentic multimodal AI, focusing on video understanding and scalable inference across cloud and devices. You will lead end-to-end research, collaborate with product teams, and publish insights to push the state of the art.

The role involves mentoring junior scientists, shaping research directions, and translating findings into Axon products with a strong emphasis on responsible AI and privacy.