Applied Scientist , Amazon Fulfillment Technologies (AFT) AI - Amazon : Job Details

Applied Scientist , Amazon Fulfillment Technologies (AFT) AI

Amazon

Job Location : Seattle,WA, USA

Posted on : 2025-02-01T13:12:34Z

Job Description :

Job ID: 2869973 | Amazon.com Services LLC

Are you passionate about developing generative AI, LLM and Vision solutions to revolutionize content understanding, automation, and robotics? At Amazon Fulfillment Technologies and Robotics, we are on a mission to build high-performance AI/Vision/NLP systems that understand and act to further improve our world-class customer experience - at Amazon scale.

This role is with the Amazon Fulfillment Technologies (AFT) AI team, a group with deep expertise in developing and deploying AI solutions at scale to address complex business challenges within the Amazon Fulfillment Network. Our solutions leverage advanced techniques in machine learning, computer vision, and natural language processing, applied to a variety of data types, including text, event sequences, images, and video—often drawn from both existing and new hardware.

We are seeking an Applied Scientist with expertise in NLP (and preferably large language models). In this role, you will collaborate with a diverse team of scientists, engineers, product managers, and stakeholders to develop and scale innovative models across a wide range of initiatives. If you are a proactive, customer-focused individual with a passion for solving real-world problems through NLP, and thrive in a setting that values ownership and impact, this is the team for you.

Key job responsibilities
  • Apply your expertise in AI/NLP/LLM to design, train, test and implement scalable solutions that address complex language-related challenges alongside our partner teams.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
  • Embrace a high level of research ambiguity that require creative, ambitious, and inventive solutions.
  • Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.
  • Be a self-starter with a bias towards independent problem solving.
    • BASIC QUALIFICATIONS
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • 1+ years of building models for business application experience.
  • Experience applying theoretical models in an applied environment.
  • Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas.
  • Expertise in NLP (and preferably large language models).
    • PREFERRED QUALIFICATIONS
  • Experience using Unix/Linux.
  • Experience in professional software development.
  • Experience and knowledge of working with LLM frameworks like LangChain or LlamaIndex and familiarity with LLM improvement and fine-tuning techniques (SFT, RLHF, DPO, and prompt engineering).

    • Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

    Posted: August 27, 2024 (Updated 2 days ago)

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