Currently tracking 995 active AI roles, up 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$465k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety within Amazon. The role involves evaluating existing algorithms, designing new ones, generating synthetic data, and potentially using active learning and grounding LLMs for business use cases. Collaboration with engineers and product managers is key, with an emphasis on publishing research. | Post-trainData | 8 |
| Applied Scientist, Amazon Compliance and Safety Services Research Scientist role focused on applying and extending state-of-the-art research in NLP, multi-modal modeling, domain adaptation, continuous learning, and large language models to improve product compliance and safety at Amazon. The role involves researching and evaluating algorithms, designing new algorithms for business impact (e.g., synthetic data generation, active learning, grounding LLMs), and collaborating with engineering and product teams to implement ML solutions across the product catalog. The team specializes in image and document understanding for compliance capabilities, with a focus on publishing research. |
| Post-train |
| 8 |
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety at Amazon. The role involves evaluating state-of-the-art algorithms, designing new ones, generating synthetic data, and improving grounding of LLMs for business use cases. It requires collaboration with engineers and product managers, and publishing research. | Post-trainData | 8 |
| Applied Scientist, Amazon Compliance and Safety Services Applied Scientist role focused on researching and developing NLP, multi-modal, and LLM-based ML solutions for product compliance and safety at Amazon. The role involves evaluating state-of-the-art algorithms, designing new ones, generating synthetic data, and improving grounding of LLMs for business use cases. It requires collaboration with engineers and product managers, and publishing research. | Post-trainData | 8 |
| Sr. Software Development Manager, Compliance Safety Services Lead a team building and scaling AI-powered compliance automation solutions using ML and LLMs for document processing at Amazon scale. Focus on driving technical strategy, developing advanced systems, and managing engineering and science teams. | Agent | 7 |
| Principal Software Development Engineer, Compliance & Safety Services Principal Software Development Engineer to architect and drive technical strategy for regulatory compliance and product safety, leading AI-powered initiatives to automate compliance workflows at massive scale. The role involves leading Zero-Touch Compliance, Unified Content Processing Pipeline, and Compliance Assist (conversational AI agents). | Agent | 7 |
| Sr Software Dev Engineer, Customer Behavior Analytics This role focuses on building and operating Amazon's customer behavior analytics and targeting systems, specifically inventing and scaling agentic analytics and targeting. The goal is to create an AI-powered content targeting ecosystem where human and AI agents collaborate, driving efficiency across the entire lifecycle. The role involves building at scale, ensuring customer experience, safety, security, data integrity, and implementing correctness and accuracy measurements and guardrails for agentic actions. | Agent | 7 |
