Head of Applied AI Science — LLM & Vision-Language

Amazon Science; Palo Alto (CA); On-site; USD 211,000 - 286,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Palo Alto is seeking a leader to manage a team working on Large Language Model (LLM) and Vision-Language Model (VLM) post-training and alignment for innovative shopping experiences. You will set the roadmap and vision for science investments across multiple new customer experiences and optimize existing experiences to deliver the most helpful AI shopping assistant in the industry.

The ideal candidate has deep expertise in LLM post-training, RLHF, DPO, fine-tuning, and

Qualifications

• 2+ years of scientists or machine learning engineers management experience.
• Knowledge of ML, NLP, Information Retrieval and Analytics.
• 5+ years of building machine learning models or developing algorithms for business application experience.
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers.
• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.

Responsibilities

• Lead a team of scientists and ML engineers focused on post-training alignment for new shopping experiences.
• Set roadmap and vision for science investments across multiple customer experiences.
• Collaborate with researchers, engineers and product managers to ship production AI at scale.

Skills

ML management experience

ML/NLP/IR knowledge

DL/ML & CV experience

Requirements gathering

Cross-team communication

Education

Master's degree in related field

PhD in related field

Job description

Amazon Science in Palo Alto is seeking a leader to manage a team working on Large Language Model (LLM) and Vision-Language Model (VLM) post-training and alignment for innovative shopping experiences. You will set the roadmap and vision for science investments across multiple new customer experiences and optimize existing experiences to deliver the most helpful AI shopping assistant in the industry.

The ideal candidate has deep expertise in LLM post-training, RLHF, DPO, fine-tuning, and