Applied Scientist II, Vertical Search Relevance

Amazon; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Amazon is seeking applied scientists to join the Vertical Search Relevance India team in Bengaluru. You will build ML models for Product Search, design production code serving billions of requests, and collaborate with engineers to scale the system.

The role emphasizes ownership, leadership, and solving high-impact customer problems. Ideal candidates have 3+ years of model-building experience, a Master's or PhD, and proficiency in Java, Python, or C++.

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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Build machine learning models for Product Search.
• Develop new ranking features and techniques using current ML results.
• Propose and validate hypotheses to steer road map; work with engineers for low latency predictions.
• Design, develop, and implement production level code that serves billions of search requests.
• Collaborate with engineers and related teams to solve design problems.
• Take ownership of projects with long-term impact.
• Be a leader and mentor for the team.
• Be ambitious and tackle hard problems.
• Be curious and learn from engineers, scientists, and data analysts.
• Be customer focused and implement scalable solutions.

Skills

ML modeling

Java

Python

C++

Distributed systems

Data mining

Hadoop/Spark

Education

Master's or PhD

Tools

Hadoop

Spark

Java

Python

C++

Job description

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 scientists 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

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.