Applied Scientist II

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company that is expanding the largest catalog on the planet through innovative machine learning and AI technologies. As an Applied Scientist, you will tackle complex challenges in data processing and natural language information retrieval. This role offers the opportunity to design scalable solutions, develop advanced anomaly detection frameworks, and enhance data relationships through knowledge graphs. You will work in a collaborative environment, leading projects and mentoring your peers while making a significant impact on the quality and efficiency of catalog management. If you are passionate about leveraging cutting-edge technologies to solve real-world problems, this is the perfect opportunity for you.

Qualifications

• 3+ years of experience building models for business applications.
• Experience in patents or publications at top-tier conferences.
• Proficient in programming languages like Java, C++, or Python.

Responsibilities

• Design and deploy scalable ML models for business problems.
• Collaborate with engineering teams for real-time model implementation.
• Lead projects and mentor other scientists and engineers.

Skills

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Data Processing

Java

Python

C++

Algorithms and Data Structures

Parallel Computing

Education

PhD in Computer Science

Master's in Computer Science

Tools

Unix/Linux

Job description

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment.
We are looking for Applied Scientists to tackle challenging problems in the areas of high scale data processing, quality & natural language based information retrieval from data . You will encounter many challenges, including
- Scale (build models to handle billions of records)
- Accuracy (High precision and recall requirements) in deduplication and anomaly detection
- Diversity (models need to work across different data formats, languages, and sources)
You will help us to
- Build scalable systems for intelligent catalog management using ML/AI-based deduplication and entity resolution
- Develop advanced anomaly detection frameworks to identify data quality issues and inconsistencies across large datasets.
- Build knowledge graph-based solutions to enhance data relationships and improve consumption of structured and unstructured data for consumers at scale.

Key job responsibilities
Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems
- Design, develop, evaluate and deploy, innovative and highly scalable ML models
- Work closely with software engineering teams to drive real-time model implementations
- Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance
- Leading projects and mentoring other scientists, engineers in the use of ML techniques

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 experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience using Unix/Linux
- Experience in professional software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.