Deep Agentic Reasoning Engineer

• Design and build multimodal reasoning models for Edge AI applications
• Collaborate with experts in AI, NLP, audio, time series, and other domains
• Build and evaluate deep learning models for multimodal classification and reasoning tasks
• Engage in the full research lifecycle, including stakeholder discussions, data collection, annotation, preprocessing, model training, and rigorous evaluation
• Prototype models in Python using PyTorch or Tensor Flow
• Implement mid-training and post-training improvements for multimodal models
• Apply knowledge-distillation techniques to transfer reasoning capabilities from larger models to smaller, efficient models
• Document experiments and results through internal reports, blog posts, and publications in conferences and workshops

• PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline
• Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR, or AAAI
• Proficiency in building and evaluating transformer-based models
• Expertise in supervised fine-tuning and post-training techniques for reasoning models
• Experience with multimodal reasoning models combining text, audio, and video data
• Familiarity with Chain-of-Thought reasoning and its applications in LLMs
• Experience with multimodal reasoning frameworks and integrating text, images, audio, and video
• Familiarity with agentic reasoning systems, task orchestration, Lang Chain, and Lang Graph
• Know-how of reinforcement learning approaches for reasoning models, such as GRPO
• Strong understanding of LLM evaluation techniques
• Applicants may have to undergo export licensing review unless they are US Citizens, US Permanent Residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3)
• Required travel: 10% of the time

Demonstrates expertise in designing and building multimodal reasoning models for Edge AI applications, with proficiency in deep learning frameworks such as PyTorch and Tensor Flow. Strong publication record in top-tier AI venues and experience in multimodal data integration and evaluation techniques.

• PhD In AI-Related Fields
• Deep Learning Model Evaluation
• Transformer-Based Model Development
• Multimodal Reasoning Frameworks
• Publication Record In Top-Tier Venues

• Multimodal Reasoning Models
• Deep Learning
• Python Programming
• Py Torch
• Tensor Flow
• Knowledge-Distillation Techniques
• Supervised Fine-Tuning
• Reinforcement Learning Approaches
• Chain-Of-Thought Reasoning
• LLM Evaluation Techniques

• AI
• NLP
• Computer Vision
• Speech Processing
• NeurIPS
• ICML
• ICLR
• ACL
• NAACL
• EMNLP

• Lang Chain
• Lang Graph