A

Amazon

Sells products online and rents cloud computing

Applied Scientist - International Technology Team

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listed

About the Job

Requirements

  • The candidate must be pursuing or have earned a master's or doctoral degree in computer science, computer engineering, machine learning, artificial intelligence, operations research, statistics, or a related field.
  • The candidate must have foundational knowledge of machine learning or deep learning, with experience in experimental design, statistical analysis, and model evaluation.
  • The candidate must have experience implementing, training, and evaluating algorithms using code and tools.
  • The candidate must be proficient in at least one programming language, such as Python, Java, or C++.
  • The candidate must understand basic methods in at least one of natural language processing, information retrieval, recommendation systems, or generative artificial intelligence.
  • The candidate must be a Chinese citizen.

Responsibilities

  • Propose testable scientific hypotheses for practical problems in Amazon search and shopping experiences, and design and implement machine learning, natural language processing, information retrieval, or large language model solutions.
  • Train, fine-tune, and evaluate models using large-scale product, query, and customer behavior data, and establish reproducible experimentation and evaluation processes.
  • Explore applications of foundation models in search, recommendations, and conversational shopping, including retrieval-augmented generation, model fine-tuning, prompt optimization, and agents.
  • Design evaluation metrics for relevance, factuality, robustness, safety, latency, and cost, and validate outcomes through offline experiments, A/B tests, and customer feedback.
  • Collaborate with engineering and product teams to turn prototypes into scalable, maintainable production systems, and continuously analyze and improve online performance.
  • Track advances in academia and industry, document technical work, and share research findings with internal or external scientific communities when appropriate.

Desired Qualifications

  • The candidate has published papers in leading conferences or journals related to natural language processing, information retrieval, machine learning, data mining, or generative artificial intelligence, or has completed high-quality research projects.
  • The candidate is familiar with Transformers, large language models, or foundation models and has practical experience in one or more of pretraining, supervised fine-tuning, parameter-efficient fine-tuning, preference optimization, or inference optimization.
  • The candidate has research or development experience with retrieval-augmented generation, vector retrieval, embeddings, semantic matching, agents, or tool-calling systems.
  • The candidate is familiar with deep learning frameworks such as PyTorch or TensorFlow and common large language model toolchains such as Hugging Face Transformers.
  • The candidate has search engine or recommendation system experience, especially with indexing, retrieval, ranking, query understanding, personalization, or online experimentation.
  • The candidate has large language model evaluation experience and can assess system quality across relevance, factuality, hallucination, robustness, safety, latency, and cost.
  • The candidate has experience with large-scale data processing, distributed training, model compression, or efficient inference.
  • The candidate can explain model choices, experimental results, and limitations clearly and collaborate with cross-functional teams to solve open-ended problems.
  • Chinese and English language skills are preferred.

About the Company

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Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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