Lead Multimodal Reasoning Engineer for Edge AI

1010 Analog Devices Inc.; San Jose (CA); On-site; USD 230,000 - 316,000; Full time

Benefits offered by this job

Medical coverage

Vision and dental coverage

401k matching

Job summary

Analog Devices, Inc. invites applications for a Deep Agentic Reasoning Engineer (open rank) to design multimodal reasoning models for Edge AI applications. You will collaborate with AI, NLP, audio, time series, and RL experts to advance agentic systems and reasoning frameworks.

The role covers end-to-end research—from data collection and training to evaluation and dissemination in top-tier venues. A PhD and a strong publication record are highly valued.

Qualifications

• 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 top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR).

Responsibilities

• Develop 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/TensorFlow) and implement core reasoning improvements, including mid-training and post-training techniques for multimodal models.
• Apply 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 top-tier conferences and workshops.

Skills

AI/ML Expertise

Strong publication record

Education

PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline

Tools

PyTorch

TensorFlow

Job description

Analog Devices, Inc. invites applications for a Deep Agentic Reasoning Engineer (open rank) to design multimodal reasoning models for Edge AI applications. You will collaborate with AI, NLP, audio, time series, and RL experts to advance agentic systems and reasoning frameworks.

The role covers end-to-end research—from data collection and training to evaluation and dissemination in top-tier venues. A PhD and a strong publication record are highly valued.