Staff AI Engineer - Time-Series & Multimodal Sensors

Analog Devices, Inc.; Wilmington (MA); On-site; USD 198,000 - 272,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401k

Paid vacation

Holidays

Sick time

Other benefits

Job summary

Analog Devices, Inc. in the United States is seeking a Staff AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing, signal intelligence and large-scale temporal modeling.

This role will develop architectures unifying multimodal sensor data into a foundation for context-aware reasoning across time. Your work enables time series feature extraction, anomaly detection, forecasting and cross-sensor understanding.

Qualifications

• 6+ years of experience developing software products with an AI/ML focus.
• 4+ years of experience developing AI/ML products.
• Deep expertise in time-series ML, signal processing, and foundation models (Chronos, TimesFM, TimeGPT, etc.).
• Proficiency in representation learning, time series encoding, time series compression and motif discovery.
• Knowledge of SOTA models in time series reasoning and cross-attention.
• Parameter-efficient fine-tuning, LoRA/Q-LoRA, and reward-based optimization methods.
• Strong knowledge in statistical hypothesis testing, experimental design, causal discovery.
• Fluency in Python, PyTorch, and large-scale training pipelines using cloud or distributed systems.
• Ability to collaborate across disciplines—ML, hardware, and embedded systems.

Responsibilities

• Lead R&D on intelligent time-series agents for edge by combining time series anomaly detection and reasoning.
• Use multiple modalities such as text and image for additional context.
• Advance sensor fusion enabling cross-modal alignment between domains.
• Create benchmarking pipelines for cross-domain time-series models.
• Apply alignment and fine-tuning methods for multimodal datasets.
• Lead SOTA research in time series embedding and compression for edge.
• Investigate foundation alignment techniques like DPO and RLAIF.
• Partner with hardware, signal processing and systems teams for real-time sensing.
• Design statistical experiments for data collection and model development.
• Publish and represent ADI at ML and signal-processing venues.
• Mentor junior researchers and shape Lorenz Labs' strategy.

Skills

Time-series ML

Sensor data fusion

Foundation models

Cross-modal reasoning

LoRA / Q-LoRA

DPO / RLAIF

Python / PyTorch

Cloud / distributed training

Experiment design

Multimodal data integration

Job description

Analog Devices, Inc. in the United States is seeking a Staff AI Engineer in Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing, signal intelligence and large-scale temporal modeling.

This role will develop architectures unifying multimodal sensor data into a foundation for context-aware reasoning across time. Your work enables time series feature extraction, anomaly detection, forecasting and cross-sensor understanding.