Deep Agentic Reasoning Engineer (Lorenz Labs)

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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Deep Agentic Reasoning Engineer 

Location: Boston, MA or San Jose, CA 

Summary 

We’re looking for a Deep Agentic Reasoning Engineer (open rank) to design and build multimodal reasoning models (e.g., time-series, audio, video) for Edge AI applications. You’ll collaborate with experts in AI, NLP, audio, time series 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: 

• 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, AAAI). 
• Technical Expertise:  
  • Proficiency in building and evaluating transformer-based models. 
  • Expertise in supervised fine-tuning and post-training techniques for reasoning models. 
  • Experience with multimodal reasoning models (e.g., combining text, audio, and video data). 
• Reasoning Techniques: Familiarity with Chain-of-Thought (CoT) reasoning and its applications in LLMs. 

Good to have 

• Experience with multimodal reasoning frameworks and integrating diverse data types (e.g., text, images, audio, video). 
• Familiarity with agentic reasoning systems, including task orchestration and popular tools such as Langchain/langgraph.
• Know-how of reinforcement learning approaches for reasoning models (e.g. GRPO) 
• Strong understanding of LLM evaluation techniques. 

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.

• 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.