Senior Principal AI/ML Engineer, Time-Series & Sensor Reasoning Models (Lorenz Labs)
Analog Devices14 days ago
Base Salary
$260k - $358k/yr
Responsibilities
- Lead R&D on time-series anomaly detection, reasoning, and forecasting foundation models and intelligent edge agents.
- Develop multimodal models using electrical, audio, motion, physiological, photonic, text, and image data.
- Advance sensor fusion and cross-modal alignment across electrical, acoustic, inertial, and photonic domains.
- Create benchmarking pipelines covering robustness, interpretability, and hardware-performance metrics.
- Apply LoRA, Q-LoRA, adapter tuning, contrastive alignment, DPO, and RLAIF to multimodal sensor datasets and reasoning tasks.
- Research time-series embedding, compression, memory, retrieval-augmented generation, and agentic systems for edge reasoning.
- Partner with hardware, signal-processing, embedded-systems, and systems teams on real-time, energy-efficient architectures.
- Design statistical experiments for sensor-data collection and model development.
- Publish and represent the organization at major machine-learning and signal-processing venues.
- Mentor junior researchers and help shape foundation-model strategy.
Requirements
- 15+ years of experience developing software products with a strong AI/ML focus.
- 6+ years of experience developing AI/ML products.
- Deep expertise in time-series machine learning, signal processing, foundation models, and evaluation or fine-tuning of time-series foundation models.
- Proficiency in representation learning, time-series encoding and compression, and motif discovery in high-dimensional temporal data.
- Knowledge of time-series reasoning models, cross-attention, multimodal embeddings, agentic systems, memory, and RAG.
- Experience with parameter-efficient fine-tuning and reward-based optimization methods including LoRA, Q-LoRA, DPO, PPO, and RLAIF.
- Strong knowledge of statistical hypothesis testing, experimental design, and causal discovery.
- Fluency in Python, PyTorch, and large-scale training pipelines using cloud or distributed systems such as AWS or GCP.
- Ability to collaborate across ML, hardware, and embedded-systems disciplines and translate research into deployable physical-intelligence systems.
- Preferred: Ph.D. in Electrical Engineering, Computer Science, or Applied Physics.
- Preferred: leadership experience, particularly involving embedded systems, and a record of innovation through patents, publications, or open-source contributions.
Benefits
- Medical, vision, and dental coverage.
- 401(k) plan.
- Paid vacation, holidays, and sick time.
- Discretionary performance-based bonus.
- Required travel is 10% of the time, with a 1st shift/day schedule.
- Applicants may be subject to export licensing review when accessing technical data, except for US citizens, permanent residents, and protected individuals.
Tech Stack
Categories
AI ResearchML Engineering
About Analog Devices
Analog Devices, Inc. designs and sells analog, mixed-signal, RF, power, sensor, and digital signal processing ICs to OEMs across industrial, automotive, communications, consumer, and healthcare markets. Founded in 1965 and headquartered in Wilmington, Massachusetts, the NASDAQ-listed company earns revenue from catalog and application-specific semiconductors and supporting software used in applications from factory automation and vehicles to data centers and medical devices.