Staff AI/ML Engineer, Time-Series & Sensor Reasoning Models (Lorenz Labs)

1010 Analog Devices Inc.; San Jose (CA); On-site; USD 198,000 - 272,000; Full time

Benefits offered by this job

Medical vision dental coverage

401k

Paid vacation and holidays

Discretionary bonus

Job summary

Analog Devices, Inc. in the United States seeks a Staff AI Engineer focused on Time-Series & Sensor Foundation Models to advance AI engineering at the intersection of sensing and temporal modeling.

This role develops architectures unifying multimodal sensor data into a coherent foundation for context-aware reasoning across time. Working on ADI’s Faraday suite, you will extend foundation-scale modeling into automotive, health, industrial systems, and robotics—enabling time series feature

Qualifications

• 6+ years building AI/ML products and systems.
• Expertise in time-series modeling and signal processing.
• Experience with foundation models and large-scale training.
• Proficiency in Python and PyTorch; cloud pipelines.
• Ability to collaborate across ML, hardware, and systems.

Responsibilities

• Lead R&D on intelligent time-series agents for edge with multimodal data.
• Advance cross-modal sensor fusion and benchmarking pipelines.
• Apply LoRA/Q-LoRA and other fine-tuning methods for multimodal data.
• Publish at major ML and signal-processing venues.
• Mentor researchers and shape strategy for foundation models.

Skills

Time-series ML

Signal processing

Foundation models

Python

PyTorch

Cloud training

Cross-disciplinary collaboration

Education

Ph.D. in Electrical Engineering or CS or Applied Physics

Tools

AWS

GCP

PyTorch

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Analog Devices, Inc. is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. Come join ADI – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About the Role

We are 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 that unify multimodal sensor data—including electrical, audio, motion, photonic, and physiological signals—into a coherent foundation for context‑aware reasoning across time. Your work will contribute directly to ADI’s Faraday suite of physically‑intelligent reasoning models. Building on ADI’s leadership in sensing and edge intelligence, you will extend foundation‑scale modeling into domains such as automotive, health, industrial systems, and robotics—enabling time series feature extraction, anomaly detection, forecasting, and cross‑sensor understanding that bridge physics and AI. You will be working on multi‑modal time series reasoning models which will be capable of reasoning about sensor signals, utilizing state‑of‑the‑art techniques in time series embeddings, cross‑attention, reinforcement learning and time series agentic solutions.

Key Responsibilities

• Lead R&D on creation of intelligent time‑series agents for edge by combining time series anomaly detection, reasoning, forecasting foundation models; these models will be able to incorporate multiple data modalities such as electrical, audio, motion, physiological as well as text.
• Besides the time series modality these models will be able to use other modalities such as text and image, which will serve as additional context.
• Advance research in sensor fusion, enabling cross‑modal alignment between electrical, acoustic, inertial, and photonic domains.
• Create benchmarking pipelines for cross‑domain time‑series foundation models, covering representation robustness, interpretability, and hardware performance metrics.
• Apply alignment and fine‑tuning methods such as LoRA, Q‑LoRA, adapter‑tuning, and contrastive alignment for multimodal sensor datasets.
• Leverage SOTA research in time series embedding and compression to enable time series reasoning models for edge, Investigate modern foundation alignment techniques, including DPO (Direct Preference Optimization) and RLAIF (Reinforcement Learning from AI Feedback) for physical and sensory reasoning tasks.
• Partner with ADI’s hardware, signal processing, and systems teams to co‑design architectures for real‑time, energy‑efficient sensing applications.
• Work on design of statistical experiments for SMEs to collect sensor data for model development.
• Publish and represent ADI at major ML and signal‑processing venues (NeurIPS, ICLR, ICML, ICASSP, KDD), often in conjunction with leading AI industry partners.
• Mentor junior researchers and help shape Lorenz Labs’ strategy for foundation models that understand and reason about physical systems.

Must Have Skills

• 6+ years of experience developing AI/ML products
• Deep expertise in time‑series ML, signal processing, and foundation models (Chronos, TimesFM, TimeGPT, etc.) – understanding of tradeoffs of different architectures, hands on experience of training or fine‑tuning one or more of the time series foundation models, evaluation of different models.
• Proficiency in representation learning, time series encoding, time series compression and motif discovery in high dimensional temporal data.
• Knowledge of SOTA models in time series reasoning (based on cross‑attention and multi‑modal embedding), time series agentic systems, time series memory and RAG.
• Parameter‑efficient fine‑tuning, LoRA/Q‑LoRA, and reward‑based optimization methods (DPO, PPO, RLAIF).
• Strong knowledge in statistical hypothesis testing, experimental design, causal discovery.
• Fluency in Python, PyTorch, and large‑scale training pipelines using cloud or distributed systems (AWS, GCP, etc.).
• Ability to collaborate across disciplines—ML, hardware, and embedded systems—and translate research into deployable physical intelligence systems.

Preferred Education and Experience

Ph.D. in Electrical Engineering, Computer Science, or Applied Physics. Demonstrated leadership and agility in combining technical solutions to business problems, preferably for embedded systems. Record of innovation through patents, publications, or open‑source contributions.

Export Licensing & Compliance

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce – Bureau of Industry and Security and/or the U.S. Department of State – Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Equal Opportunity

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type

Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

Compensation & Benefits

The expected wage range for a new hire into this position is $197,800 to $271,975. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance‑based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.