Applied Scientist II, Vertical Search Relevance

Amazon; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Amazon is looking for an Applied Scientist II in Bengaluru to enhance its search technology. The role involves building machine learning models for Product Search and designing high-performance systems to serve billions of requests daily.

The ideal candidate will have a Master's degree or PhD and over 3 years of relevant experience. Applicants should be proficient in programming languages such as Java, C++, and Python, and possess a strong understanding of algorithms and data mining.

Qualifications

• 3+ years of building models for business application experience.
• Experience in algorithms, data structures, and data mining.
• Experience programming in a related language.

Responsibilities

• Build machine learning models for Product Search.
• Develop new ranking features from academic research.
• Collaborate with teams to find technical solutions.

Skills

Model building

Problem solving

Customer focus

Machine learning

Education

Master's degree or PhD

Tools

Java

C++

Python

Hadoop

Spark

Job description

Applied Scientist II, Vertical Search Relevance

The Amazon Search team creates strong customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, our services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a strong applied scientist to join the Vertical Search Relevance India team. This team’s charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine‑learned ranking models and improve the machine‑learning framework for training and offline evaluation that is used for all new relevance models.

Key job responsibilities

• Build machine learning models for Product Search.
• Develop new ranking features and techniques building upon the latest results from the academic research community.
• Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system.
• Focus on identifying and solving customer problems with simple and elegant solutions.
• Design, develop, and implement production level code that serves billions of search requests. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment.
• Collaborate with other engineers and related teams within A9.com and Amazon.com to find technical solutions to complex design problems.
• Take ownership. Understand the needs of various search teams, distill those into coherent projects, and implement them with an eye on long‑term impact.
• Be a leader. Use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible‑sounding projects.
• Be ambitious. Find and eagerly tackle hard problems.
• Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them. You will have access to the latest technologies and vast technical tools and resources of Amazon and will need to learn how to use them effectively.
• Be customer focused. Work backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability.

Basic Qualifications

• 3+ years of building models for business application experience
• Master's degree, or PhD
• 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 with large scale distributed systems such as Hadoop, Spark etc.
• Strong fundamentals on a broad set of ML approaches and techniques
• Strong fundamentals in problem solving and algorithm design
• Strong interest in learning, researching, and creating new technologies with commercial impact

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