Applied Scientist , Amazon Fulfillment Technologies (AFT) AI

Are you passionate about developing generative AI, LLM and Vision solutions to revolutionize content understanding, automation, and robotics? Are you looking for opportunities to build and deploy them on real-world problems at a massive scale? 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. The team is composed of scientists focused on creating innovative machine learning, NLP, and vision models, analysts who assess the business impact and performance of these solutions, and software engineers who build and maintain the necessary infrastructure, including ML pipeline setup, annotation pipelines, and library development.

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.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

The AFT AI team has deep expertise developing AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.

Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.- 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).- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.