Staff Research Scientist, Artificial Intelligence

Responsibilities

• Collaborate with business leads and domain experts to identify opportunities where modern AI can solve complex physical world problems.
• Lead technical execution from mathematical conceptualization to proof-of-concept, bridging the gap between research and validated products.
• Design next-generation neural architectures and custom training paradigms tailored to the physics of sensory data.
• Research techniques in model distillation, optimization, and neural architecture search to deploy efficient AI on edge compute platforms.
• Provide thought leadership by staying current with the global AI research landscape and mentoring junior engineers.

Requirements

• PhD in Computer Science, Electrical Engineering, or a related field.
• 3+ years of industry experience translating complex theoretical research into working systems.
• Deep technical mastery of modern architectures such as Transformers, State Space Models (SSMs), or Diffusion Models.
• Proficiency in deep learning frameworks, specifically PyTorch or JAX.
• Experience with advanced training paradigms such as Self-Supervised Learning (SSL) or Reinforcement Learning.

Preferred Qualifications

• Experience with model quantization, distillation, or deploying models to embedded/edge targets.
• Knowledge of signal chains, digital signal processing (DSP), and fundamental circuit concepts.
• Familiarity with signal processing concepts such as Fourier transforms, noise floors, and sampling rates.
• A strong publication record in top-tier AI conferences or journals.

About the Company

Analog Devices (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. Through our Analog Garage innovation lab in Boston, we pioneer breakthrough technologies in a fast-moving, experiment-focused atmosphere, combining analog, digital, AI, and software to solve high-impact global challenges.