Senior Scientist
12 hours ago
We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems, and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions.
Key Job Responsibilities
As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction, and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant, and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning, and language model technologies. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art.
Minimum Requirements
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree.
- PhD, or Master's degree and 6+ years of applied research experience.
- 3+ years of building machine learning models for business application experience.
- Experience programming in Java, C++, Python, or related language.
- PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval, or reinforcement learning.
- 4+ years of experience in building machine learning and deep learning models for large scale customer-facing product features.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Solid software development experience.
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