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python computer vision tensorflow pytorch kerasπ Description
- Collaborate with scientists, engineers, and PMs to build proof-of-concepts.
- Lead end-to-end AI research on universal search and multimodal reasoning.
- Advance CV, ML and gen-AI tech for multimodal data.
- Design privacy-preserving, efficient and scalable models for visual data inference.
- Develop metrics for agentic multimodal models and validate in real-world settings.
- Stay current on agentic AI and CV advances and translate findings into Axon products.
π― Requirements
- PhD and 3+ years in multimodal ML, video understanding, IR, or related fields.
- Applied research with production impact in multimodal learning or RAG systems.
- Experience owning ML lifecycle from problem to deployment in production.
- Experience with large-scale ML, multimodal RAG systems, embeddings, vector search, and grounding LLMs.
- Strong video analysis/temporal modeling and CV fundamentals.
- Proficiency in Python and PyTorch, TensorFlow, or Keras.
π Benefits
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
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