Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)
At a glance
Senior Machine Learning Engineering role at Analogdevices. US, CA, San Jose, Rio Robles · full-time · $230,000–$316,250 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and test deep-learning systems for multimodal classification and reasoning, including time-series, audio, video and sensor data
- Carry research from stakeholder discussions through data gathering, annotation, preparation, model training and evaluation
- Prototype in Python with PyTorch or TensorFlow, then refine multimodal reasoning with mid-training and post-training methods
- Use distillation to move reasoning ability from larger models into smaller, more efficient models
- Capture experiments in reports and blog posts, and present findings at leading conferences and workshops
What you bring
- At least ten years releasing software products, with a strong record of AI and machine-learning results
- At least six years taking AI or machine-learning products through release
- A PhD in an AI-focused area such as NLP, computer vision or speech processing
- A substantial publication record at top research venues, including NeurIPS, ICML or another listed conference
- Deep experience training, post-training and assessing transformers, plus practical reinforcement-learning and policy-optimization work
Who this fits
This senior research role suits an experienced engineer who can develop multimodal reasoning models and take research through the full cycle. Travel is expected about ten percent of the time.
From the employer
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.
About the Role
We’re looking for Deep Agentic Reasoning Engineer (open rank) to design and build multimodal reasoning models (e.g., time-series, audio, video, sensor data) for Edge AI applications. You’ll collaborate with experts in AI, NLP, audio, time series, RL and other domains to advance reasoning capabilities in alignment with Analog Devices business needs. This role offers the opportunity to work on the forefront of AI research, contributing to the development of agentic systems and multimodal reasoning frameworks.
What You’ll Do
Develop and Evaluate Models: build and evaluate deep learning models for multimodal classification and reasoning tasks.
Full Research Stack: Engage in the full research lifecycle, including stakeholder discussions, data collection, annotation, preprocessing, model training, and rigorous evaluation.
Prototype and Innovate: Prototype models in Python (using PyTorch/TensorFlow) and implement core reasoning improvements, including mid-training and post-training techniques for multimodal models.
Knowledge Distillation: Apply distillation techniques to transfer reasoning capabilities from larger models to smaller, efficient models.
Dissemination: Document experiments and results through internal reports, blog posts, and publications in top-tier conferences and workshops.
What You Bring
Technical Mastery: 10+ years of experience releasing software products with a strong track record of AI/ML success.
AI/ML Expertise: 6+ years of experience releasing AI/ML products.
Educational Background: PhD in AI-related fields such as NLP, Computer Vision, Speech Processing, or related discipline.
Research Excellence: Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, CVPR).
Core Technical Expertise
Proficiency in training, post-training, and evaluating transformer-based models with deep understanding of training dynamics, architecture modifications, and optimization techniques
Strong expertise in supervised fine-tuning, RL (e.g., GRPO), and advanced post-training techniques for reasoning models, including hands-on experience with RL implementation and policy optimization
Experience in implementing and modifying transformer architectures (encoder/decoder variants, attention mechanisms, positional encodings)
Advanced knowledge of techniques including Chain-of-Thought (CoT), agentic tree search methods, continual learning, etc.
Multi-agent orchestration, task decomposition, and experience with both static frameworks (e.g., LangGraph) and dynamic multi-agent harnesses for complex reasoning workflows
Growth Mindset
Appetite for continuous learning with demonstrated ability to quickly adapt to new research directions
Resourcefulness in exploring and implementing emerging paradigms such as JEPA training, world models, diffusion-based generation, and agentic harnesses
Interest in frontier applications including edge AI deployment, multi-agent orchestration, deep research automation
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.
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: ExperiencedRequired Travel: Yes, 10% of the time
Shift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $230,000 to $316,250.
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.