Your Impact
We are seeking a skilled and innovative Senior AI Research Scientist to join a new team focusing on agentic video and multimodal reasoning systems. As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in machine learning and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual and multimodal data.
What You’ll Do
- 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.
What You Bring
- 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.