Senior Applied Researcher T27 jobs at Ebay in India, Bengaluru

As a senior engineer, you'll take part throughout the product development lifecycle—from conceptual design to product launch—while working closely with Product Managers, Designers, and Architectural teams.

What you'll do and learn:

• Develop features that are modular and loosely coupled

• Able to translate product and design documents into clean, high-quality, crash-free, well-tested and maintainable production code autonomously

• Write unit tests and automation code for all shipped features

• Conduct code review for immediate team

• Develop and maintain technical documentation to support software applications.

• Propose and evaluate multiple design options, providing estimates for each.

• Structure and complete tasks independently, meeting deadlines and milestones.

• Effectively communicate assumptions and seek clarification from stakeholders, ensuring alignment and understanding across all domains.

What you will bring:

• 4+ years professional experience in native mobile development

• Understanding of advanced swift features such as generics / concurrency mgmt /

• Experience with dependency management tools in iOS - SPM/Cocoapods/Carthage etc

• Basic understanding of system design for large scale consumer mobile applications

• Familiarity with CI/CD tools

• Experience implementing modern platform design patterns

• Understanding of testing iOS applications using platform tools

• Experience with production monitoring

• Basic proficiency with swift memory management

• Strong learning ability, self-driven

• Excited about new and innovative technologies within immediate field of expertise

• Attending knowledge sharing sessions, both within the company and externally

• Innovative, team player, excellent communication and decision-making

• Bachelor's degree in EE, CS or other related field or equivalent exp.

We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it.

This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

● Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to identify opportunities in taxonomy, ontology, and structured data for search & discovery improvements.

● Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.

● Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.

● Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.

● Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

● Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.

● Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.

● Product Analytics Mindset – Familiarity with eCommerce search, recommendations, and knowledge graph applications

● Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.

● AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred )

• Reliability & Performance: Design, implement, and maintain systems and processes to ensure the high availability, performance, and scalability of our production platform.

• Automation: Develop and implement automation for infrastructure provisioning, deployment, monitoring, and incident response, reducing manual toil and improving operational efficiency.

• Observability: Implement and enhance comprehensive monitoring, logging, and alerting solutions to provide deep insights into system health and performance.

• Incident Management: Lead incident response efforts, conduct root cause analyses, and implement preventative measures to minimize future occurrences.

• Capacity Planning: Collaborate with development teams to forecast resource needs and ensure the platform can handle anticipated growth and traffic spikes.

• System Design & Architecture: Provide input on system architecture and design, advocating for reliability, scalability, and operational best practices from the outset.

• Tooling & Infrastructure: Evaluate, select, and implement new tools and technologies to improve our platform's reliability, security, and operational capabilities.

• Collaboration & Mentorship: Work closely with development, QA, and security teams to embed reliability practices throughout the software development lifecycle. Mentor junior engineers on SRE principles and best practices.

• Documentation:

• Experience: 5+ years of experience in a DevOps, SRE, or similar role focused on platform reliability and operations.

• Cloud Platforms: Strong hands-on experience with at least one major cloud provider (e.g., AWS, Azure, GCP).

• Containerization & Orchestration: Expertise with Docker and Kubernetes for deploying and managing microservices.

• Infrastructure as Code: Proficiency with IaC tools such as Terraform, CloudFormation, or Ansible.

• Scripting & Programming: Strong scripting skills (e.g., Python, Bash) and experience with at least one compiled language (e.g., Go, Java, Node.js) for automation and tool development.

• Monitoring & Alerting: Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog, New Relic) and logging systems (e.g., ELK Stack, Splunk).

• CI/CD: Solid understanding and experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Networking: Fundamental understanding of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).

• Databases: Familiarity with database operations, performance tuning, and backup/recovery strategies (SQL and NoSQL).

• Problem-Solving: Exceptional analytical and troubleshooting skills, with a methodical approach to identifying and resolving complex system issues.

• Communication: Excellent verbal and written communication skills, capable of effectively communicating technical concepts to diverse audiences.

• Quality Strategy & Planning: Collaborate with product managers, developers, and other stakeholders to define comprehensive quality strategies and test plans for new features and existing functionalities across our ReactJS frontend and Node.js/Java backend services.

• Test Automation Development: Design, develop, and maintain robust and scalable automated test suites using frameworks like Jest, React Testing Library, and Cypress for frontend applications, and integrate with backend testing frameworks for Java/Node.js services.

• Performance & Scalability Testing: Conduct performance, load, and scalability testing to identify bottlenecks and ensure our applications meet high-performance standards, working closely with backend engineers on distributed systems.

• Functional & Integration Testing: Lead the execution of functional, integration, and end-to-end tests to validate software behavior, data integrity, and API interactions.

• Defect Management: Identify, log, and prioritize defects, working closely with development teams to ensure timely resolution and retesting.

• CI/CD Integration: Integrate automated tests into the CI/CD pipelines to enable continuous testing and rapid feedback loops.

• Mentorship & Best Practices: Promote and drive quality best practices within the team, providing guidance and mentorship to junior and mid-level engineers on testing methodologies, tools, and automation.

• Troubleshooting & Root Cause Analysis: Assist in diagnosing and debugging complex technical issues, collaborating with development teams to perform root cause analysis.

• Tooling & Innovation: Research and evaluate new testing tools, technologies, and methodologies to enhance our quality assurance processes and efficiency.

• Cross-functional Collaboration:

• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

• Experience: 5+ years of progressive experience in software quality assurance, with a strong focus on test automation for web applications.

• Frontend Testing Expertise: Strong experience with testing frameworks like Jest, React Testing Library, and Cypress for ReactJS applications.

• Backend Testing: Experience with testing RESTful APIs and/or GraphQL services. Familiarity with testing Java-based backend services (e.g., using JUnit, Mockito) and Node.js backend services.

• Test Automation Architecture: Proven ability to design and implement robust, scalable, and maintainable automated test frameworks.

• Web Technologies: Good understanding of modern web technologies, including HTML5, CSS3, JavaScript (ES6+), and TypeScript.

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Version Control: Proficiency with Git and collaborative development workflows.

• Problem Solving: Excellent analytical and problem-solving skills, with a keen eye for detail.

• Communication: Strong verbal and written communication skills, with the ability to effectively communicate technical information and collaborate across teams.

• Agile Methodologies: Experience working in an Agile/Scrum development environment.

• Experience with performance testing tools (e.g., JMeter, LoadRunner).

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

• Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI).

• Knowledge of database testing (relational and NoSQL).

• Experience with security testing principles.

• Understanding of micro-frontend architectures.

• Familiarity with AI systems and tools, and experience with AI coding tools (e.g., GitHub Copilot) for test script generation.

What you will accomplish:

• Drive the design and implementation of systems aligned with eBay's existing payments infrastructure to enhance functionality and scalability.

• Collaborate across multiple teams including engineering, product management, and QA, to develop robust solutions that meet market needs.

• Lead significant feature developments independently and collaborate on delivering more complex changes with fellow team members.

• Innovate and propose technical improvements, presenting detailed business cases for enhancements or new opportunities.

• Rapidly deliver iterative value as part of a cross-functional Agile team, staying responsive to customer needs.

• Engage in continuous learning and growth through tackling complex technical challenges in payment technology.

What you will bring:

• Advanced degree (MS/PhD) in Computer Science or related fields, with a strong emphasis on machine learning, data mining, and information retrieval.

• Proficiency in Java and other software development languages (J2EE, Scala, R, Perl) with a focus on creating scalable solutions.

• Solid understanding of database schema design, performance tuning, and both SQL and NoSQL databases like MongoDB.

• Experience with large-scale data-driven systems and web data analysis technologies.

• Familiarity with Hadoop development and data-mining technologies such as classification and clustering algorithms.

• Commitment to a collaborative work environment and willingness to engage with distributed teams across varying locations.

We are seeking a highly motivated and experienced Senior Platform Reliability Engineer (PRE) to join our growing team. In this critical role, you will be responsible for ensuring the reliability, scalability, and performance of our core platform and services. You will apply Site Reliability Engineering (SRE) principles to automate operations, improve system resilience, and drive a culture of continuous improvement across our engineering organization.

• Reliability & Performance: Design, implement, and maintain systems and processes to ensure the high availability, performance, and scalability of our production platform.

• Automation: Develop and implement automation for infrastructure provisioning, deployment, monitoring, and incident response, reducing manual toil and improving operational efficiency.

• Observability: Implement and enhance comprehensive monitoring, logging, and alerting solutions to provide deep insights into system health and performance.

• Incident Management: Lead incident response efforts, conduct root cause analyses, and implement preventative measures to minimize future occurrences.

• Capacity Planning: Collaborate with development teams to forecast resource needs and ensure the platform can handle anticipated growth and traffic spikes.

• System Design & Architecture: Provide input on system architecture and design, advocating for reliability, scalability, and operational best practices from the outset.

• Tooling & Infrastructure: Evaluate, select, and implement new tools and technologies to improve our platform's reliability, security, and operational capabilities.

• Collaboration & Mentorship: Work closely with development, QA, and security teams to embed reliability practices throughout the software development lifecycle. Mentor junior engineers on SRE principles and best practices.

• Documentation:

• Experience: 5+ years of experience in a DevOps, SRE, or similar role focused on platform reliability and operations.

• Cloud Platforms: Strong hands-on experience with at least one major cloud provider (e.g., AWS, Azure, GCP).

• Containerization & Orchestration: Expertise with Docker and Kubernetes for deploying and managing microservices.

• Infrastructure as Code: Proficiency with IaC tools such as Terraform, CloudFormation, or Ansible.

• Scripting & Programming: Strong scripting skills (e.g., Python, Bash) and experience with at least one compiled language (e.g., Go, Java, Node.js) for automation and tool development.

• Monitoring & Alerting: Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog, New Relic) and logging systems (e.g., ELK Stack, Splunk).

• CI/CD: Solid understanding and experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).

• AI Code Generation: Familiarity with foundational AI concepts and practical experience applying AI-powered coding generation (e.g., OpenAI Codex, GitHub Copilot, Anthropic Claude, Cursor, Windsurf or understanding of transformer-based code generation) will be a significant asset.

• Networking: Fundamental understanding of networking concepts (TCP/IP, DNS, Load Balancing, Firewalls).

• Databases: Familiarity with database operations, performance tuning, and backup/recovery strategies (SQL and NoSQL).

• Problem-Solving: Exceptional analytical and troubleshooting skills, with a methodical approach to identifying and resolving complex system issues.

• Communication: Excellent verbal and written communication skills, capable of effectively communicating technical concepts to diverse audiences.

Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

eBay is an amazing company to work for. Being on the team, you can expect to benefit from:

• A competitive salary - including stock grants and a yearly bonus

• A healthy work culture that promotes business impact and at the same time highly values your personal well-being

• Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

​Job Responsibilities

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap

• Help define and refine project scopes, goals, and metrics

• ​Seek scientifically valid solutions that deliver real value to eBay customers

• Carefully measure your output and impact in order to learn and improve over time

• Collaborate with Operations team to ensure the quality of any human-labeled data required

• ​Build Machine Learning models and data pipelines to deliver insightful yet practical solutions

• Mentor more junior peers, as well as review their work and provide frequent feedback and advice

• Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers

• ​Present key technical and novel research work in public forums and conferences

• Help interview and hire additional, exceptional teammates!

Minimum Qualifications

• ​BE/B.Tech with 10+ years of relevant Industry experience

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 7+ years of industrial experience in Applied Machine Learning

• ​Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related

• Significant Experience in Production-grade coding in a high-level language such as Python or Java

• ​Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark

• ​Excellent verbal and written communication and collaboration skills

• Thought leadership and mentoring skills

Additional Qualifications

• ​5 or more related publications/patents in quality conferences or journals

• Open source tool building/commits to popular threads.

• Experience on Language models and KG building