Senior Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)

Originally posted 11 September 2026 by the employer.

About the role

This role involves designing and building multimodal reasoning models for Edge AI applications.

What you'll do

• Develop and evaluate deep learning models for multimodal classification and reasoning tasks.
• Engage in the full research lifecycle, including data collection, annotation, preprocessing, model training, and rigorous evaluation.
• Prototype models in Python using PyTorch/TensorFlow and implement core reasoning improvements.
• 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.

What you'll need

• 15+ years of experience releasing software products with a strong track record of AI/ML success.
• 6+ years of experience releasing AI/ML products.
• PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline.
• Strong publication record in venues such as NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR.
• Proficiency in training, post-training, and evaluating transformer-based models.
• Expertise in supervised fine-tuning, RL (e.g., GRPO), and advanced post-training techniques for reasoning models.
• Experience in implementing and modifying transformer architectures (encoder/decoder variants, attention mechanisms, positional encodings).
• Advanced knowledge of techniques including Chain-of-Thought (CoT) and agentic tree search methods.
• Experience with multi-agent orchestration, task decomposition, and frameworks like LangGraph.

Skills: multimodal reasoning models, Edge AI, deep learning, PyTorch/TensorFlow, transformer-based models