Amazon.com Services LLC
Technology
AppliedScientist,AGIInfo
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist, AGI Info at Amazon.com Services LLC. Skills: Information retrieval, Ranking, Machine learning. Apply scientific rigor. Deliver incrementally”
What You'll Achieve.
Advance state-of-the-art; Delight customers
Industry & Context.
Failure space analysis
What They're Looking For.
Must Have
3+ years of building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience building machine learning models, Experience developing algorithms for business application
Nice to Have
Experience using Unix/Linux, Experience in professional software development, PhD in Computer Science, Electrical Engineering, or Mathematics, Specialties in information retrieval, Specialties in natural language processing, Specialties in machine learning, 3+ years experience in building ML-based search systems, 3+ years experience in building ML-based recommendation systems, Publications at peer-reviewed conferences, In-depth working knowledge of LLMs
What You'll Do.
Apply scientific rigor
Deliver incrementally
Analyze prior experiments
Write reports of experiments
Collaborate with scientists
Define next experiments
Collaborate with engineers
Bring innovations into production
Continuously with customers
Deliver for customers
Develop web search technology
Train retrieval models
Deploy model performance
Debug model performance
Build training data sets
Scale training data sets
How You'll Work.
Team & Collaboration
Work with smart colleagues; Collaborate with engineers; Collaborate with customers; Collaborate with stakeholders
Communication Scope
Clear reports; Succinct reports; Informative reports
Process & Methodology
Research roadmaps
Full Job Description
Amazon’s Artificial General Intelligence (AGI) organization is developing a next-generation web search system to support RAG applications across Amazon. We are looking for a Applied Scientist with expertise in information retrieval (IR) and ranking to join the team! If you are looking for an opportunity to develop innovative solutions to deep technical problems in web-scale IR, having a massive customer impact, this might be the role for you! As a Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will invent, develop, and help deploy novel, scalable algorithms to advance the state-of-the-art in our IR stack. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will develop and help lead the execution of multi-year research roadmaps, enabling the team to focus on the right technical challenges to delight our customers. Key job responsibilities As an Applied Scientist, you will apply scientific rigor to your work. You will deliver incrementally, setting up and executing experiments informed by rigorous failure space analysis of prior experiments. You have a knack for writing clear, succinct and informative reports of your experiments. You collaborate and seek guidance from other scientists on your team to define the next experiments. You collaborate closely with engineers to bring your innovations into production. You will continuously with customers and stakeholders to simplify and adapt to deliver for our customers. You will develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experi
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