Six Figure Work

Senior Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)

Analog Devices

Company websiteanalog.com (Analog Devices, opens in new tab)

Base salary $260,360  to $357,995

Employer-published annual base salary, USD. Advertised base range in Wilmington, MA +1 more

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  • LocationWilmington, MA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (19 min ago) · observed since
All places named
  • Wilmington, MA
  • US, CA, San Jose, Rio Robles

About this job

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: 15+ 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 timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $260,360 to $357,995.
  • 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.

Source: Analog Devices on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($260,360) is above 85% of the 1,730 Data & ML roles in California listed on this site; 1 other lists the same floor. Their median floor is $184,000; the middle half runs from $154,150 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Analog Devices roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Analog Devices roles with the nearest advertised base floor
RolePublished base
Senior Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs) (this listing)$260,360 - $357,995
Senior Principal AI/ML Engineer, Time-Series & Sensor Reasoning Models (Lorenz Labs)$260,360 - $357,995
Director of Product Management, Enterprise AI$268,640 - $369,380
Principal Product Manager, Physical AI$230,000 - $316,250
Principal AI/ML Engineer, Time-Series & Sensor Reasoning Models (Lorenz Labs)$230,000 - $316,250
Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)$230,000 - $316,250
Forward Deployed Engineer$230,000 - $316,250

Same $100K to $400K scale as every card. All Analog Devices roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-29
Where this pay comes from

Location as the employer wrote it: US, CA, San Jose, Rio Robles • US, MA, Wilmington

The expected wage range for a new hire into this position is $260,360 to $357,995.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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