Senior AI/ML Architect: Multimodal Time-Series & Sensors

Analog Devices; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Analog Devices, Inc. seeks a Principal AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing and edge intelligence.

You will develop architectures unifying multimodal sensor data into a foundation for context-aware reasoning over time. Your work will extend ADI's Faraday suite of physically-intelligent models, collaborating across hardware, signal processing, and systems teams to enable real-time, energy-efficient sensing applications and

Qualifications

• 14+ years of experience developing AI/ML products.
• Deep expertise in time-series ML, signal processing, and foundation models.
• Proficiency in representation learning and time-series encoding.
• Knowledge of cross-attention and multi-modal embedding models.
• Parameter-efficient fine-tuning (LoRA/Q-LoRA) and Reward-based optimization (DPO, RLAIF).
• Strong knowledge of statistical hypothesis testing and experimental design.
• Fluency in Python, PyTorch, and large-scale training pipelines on cloud or distributed systems.
• Ability to collaborate across ML, hardware, and embedded systems.

Responsibilities

• Lead R&D on intelligent time-series agents for edge with multimodal data.
• Integrate modalities like text and image for added context.
• Advance sensor fusion for cross-modal alignment.
• Create benchmarking pipelines for cross-domain models.
• Apply LoRA, Q-LoRA, adapters and contrastive alignment for multimodal data.
• Utilize state-of-the-art time-series embeddings and compression.
• Explore alignment techniques such as DPO and RLAIF for physical tasks.
• Collaborate with hardware and systems teams for real-time sensing.
• Design statistical experiments for data collection with SMEs.
• Publish and represent ADI at ML and signal-processing venues.
• Mentor junior researchers and shape Lorenz Labs' strategy.

Skills

Years of experience

Time-series ML

Signal processing

Foundation models

Representation learning

Cross-modal embedding

LoRA / Q-LoRA

DPO / RLAIF

Python / PyTorch

Cloud / distributed training

Education

Ph.D. in Electrical Engineering, Computer Science, or Applied Physics

Tools

AWS

Job description

Analog Devices, Inc. seeks a Principal AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing and edge intelligence.

You will develop architectures unifying multimodal sensor data into a foundation for context-aware reasoning over time. Your work will extend ADI's Faraday suite of physically-intelligent models, collaborating across hardware, signal processing, and systems teams to enable real-time, energy-efficient sensing applications and