Senior Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)
Analog Devices14 days ago
Base Salary
$260k - $358k/yr
Responsibilities
- Develop and evaluate deep learning models for multimodal classification and reasoning involving time-series, audio, video, and sensor data.
- Conduct the full research lifecycle, including stakeholder discussions, data collection, annotation, preprocessing, model training, and rigorous evaluation.
- Prototype models in Python using PyTorch and TensorFlow, and implement mid-training and post-training improvements for multimodal models.
- Apply knowledge distillation to transfer reasoning capabilities from larger models to smaller, efficient models.
- Work on transformer architectures, supervised fine-tuning, reinforcement learning, policy optimization, continual learning, and reasoning-model techniques.
- Develop multi-agent orchestration, task decomposition, and static or dynamic harnesses for complex reasoning workflows.
- Document experiments and results through internal reports, blog posts, and publications in conferences and workshops.
Requirements
- PhD in AI-related fields such as NLP, computer vision, speech processing, or a related discipline.
- 15+ years of experience releasing software products with a strong record of AI/ML success.
- 6+ years of experience releasing AI/ML products.
- Strong publication record in top-tier venues such as NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, and CVPR.
- Proficiency in training, post-training, and evaluating transformer-based models, including training dynamics, architecture modifications, and optimization techniques.
- Expertise in supervised fine-tuning, reinforcement learning such as GRPO, advanced post-training techniques, RL implementation, and policy optimization.
- Experience implementing and modifying transformer architectures, including encoder/decoder variants, attention mechanisms, and positional encodings.
- Advanced knowledge of Chain-of-Thought, agentic tree search, continual learning, multi-agent orchestration, and task decomposition.
- Ability to adapt to emerging paradigms such as JEPA training, world models, diffusion-based generation, and agentic harnesses.
Benefits
- Medical, vision, and dental coverage, 401(k), paid vacation, holidays, sick time, and other benefits.
- The position requires approximately 10% travel and follows a first-shift daytime schedule.
- The role includes a discretionary performance-based bonus; the posting also provides an expected base wage range of $260,360 to $357,995.
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.