Qureos Mentor

eBay

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
Who Are We?
The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!
What Will You Do
We are looking for exceptional Engineers, who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:<ul><li>
Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets</li><li>
Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items</li><li>
Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components</li><li>
Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality</li></ul>
 If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you! 
eBay is an amazing company to work for. Being on the team, you can expect to benefit from:<ul><li>
A competitive salary - including stock grants and a yearly bonus</li><li>
A healthy work culture that promotes business impact and at the same time highly values your personal well-being</li><li>
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent</li></ul>
Job Responsibilities<ul><li>
Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure</li><li>
Optimize software performance to achieve the required throughput and / or latency</li><li>
Work with your manager, peers, and Product Managers to scope projects and features</li><li>
Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact</li><li>
Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution</li><li>
Take active part in knowledge sharing across the organization - both teaching and learning from others</li></ul>
Minimum Qualifications<ul><li>
Passion and commitment for technical excellence</li><li>
B.Sc. or M.Sc. in Computer Science or an equivalent professional experience</li><li>
4+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines</li><li>
Solid foundation in Data Structures, Algorithms, Object-Oriented Programming, and Software Design</li><li>
Experience in production-grade coding in Java, and Python/Scala</li><li>
Experience in designing and operating Big Data processing pipelines, such as: Hadoop and Spark</li><li>
Experience handling complexities in production software systems</li><li>
Excellent verbal and written communication and collaboration skills</li></ul>
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</div>

Software Engineer (MTS1)

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 7+ years&rsquo; experience in server-side development in Java.
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in managing teams (8-12 people), while still doing some hands-on coding
 </li>
 <li>
 Experience with design and implementation of microservices
 </li>
 <li>
 Experience with Spring framework
 </li>
 <li>
 Experience with OO design and design patterns
 </li>
 <li>
 Experience in building Restful services
 </li>
 <li>
 Experience with databases
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science
 </li>
 <li>
 Experience in working with agile development methodologies
 </li>
 <li>
 Team player that can work and support internal and external teams
 </li>
 <li>
 Mentoring and influencing peers, juniors and senior developers both within the organization and across eBay
 </li>
 <li>
 Flexibility and passion to learn new domains.
 </li>
 <li>
 Experience in writing user stories based on architecture and software requirements
 </li>
 <li>
 Experience in debugging and resolving complex production issues
 
 
 
 </li>
 </ul>
 
 Following Competencies Would Be a Great Advantage
 
 
 
 <ul>
 <li>
 Major experience in multi-threading development
 </li>
 <li>
 Experience with Kafka in microservices environment
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Senior Manager SEO Platform Eng

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 Global Payments and Risk is at the forefront of innovation, integrating ground breaking technologies into our products and services. We are dedicated to solve real-world problems, improve user experiences, and drive business outcomes. Join us in shaping the future with your expertise and passion for technology.
 
 
 As a Full Stack Software Engineer in the Risk Engineering team, you will be a member of the core team that builds outstanding risk products.
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Build solutions using your strong background in distributed systems, and large scale database systems.
 </li>
 <li>
 Build excellent user experience for customers.
 </li>
 <li>
 Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
 </li>
 <li>
 Participate in design discussions, code reviews and project related team meetings.
 </li>
 <li>
 Work with other specialists, Architecture, Product Management, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and alignment to development principles and product goals.
 </li>
 <li>
 Develop technical &amp; domain expertise and apply to solving product challenges.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent experience in Computer Science or related fie with 2-4+ years of proven experience as a software engineer.
 </li>
 <li>
 Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOAD.
 </li>
 <li>
 Solid foundation in computer science with strong proficiencies in data structures, algorithms, and software design.
 </li>
 <li>
 Proficient in implementing OOAD, architectural and design patterns, diverse platforms, frameworks, technologies, and software engineering methodologies.
 </li>
 <li>
 Experience in Oracle/ NoSQL DBs, REST, Event Source, Web Socket.
 </li>
 <li>
 Experience with data solutions like Hadoop, MapReduce, Hive, Pig, Kafka, Storm, Flink etc. is a plus.
 </li>
 <li>
 Experience with Java script, AngularJS, ReactJS, HTML5, CSS3 is nice to have.
 </li>
 <li>
 Proficient in agile development methodologies.
 </li>
 <li>
 Demonstrated ability to understand the business and ability to contribute to technology direction that gives to measurable business improvements.
 </li>
 <li>
 Ability to think out of the box in solving real world problems.
 </li>
 <li>
 Ability to adapt to changing business priorities and to thrive under pressure.
 </li>
 <li>
 Excellent decision-making, communication and collaboration skills.
 </li>
 <li>
 Risk domain expertise is a major plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Mid-Level Software Engineer (Full Stack)

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 As a Full Stack Software Engineer in the Risk Engineering team, you will be a member of the core team that builds outstanding risk products.
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Build solutions using your strong background in distributed systems, and large scale database systems.
 </li>
 <li>
 Build excellent user experience for customers.
 </li>
 <li>
 Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies.
 </li>
 <li>
 Participate in design discussions, code reviews and project related team meetings.
 </li>
 <li>
 Work with other specialists, Architecture, Product Management, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and alignment to development principles and product goals.
 </li>
 <li>
 Develop technical &amp; domain expertise and apply to solving product challenges.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent experience in Computer Science or related fie with 5+ years of proven experience as a software engineer.
 </li>
 <li>
 Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOAD.
 </li>
 <li>
 Solid foundation in computer science with strong proficiencies in data structures, algorithms, and software design.
 </li>
 <li>
 Proficient in implementing OOAD, architectural and design patterns, diverse platforms, frameworks, technologies, and software engineering methodologies.
 </li>
 <li>
 Experience in Oracle/ NoSQL DBs, REST, Event Source, Web Socket.
 </li>
 <li>
 Experience with data solutions like Hadoop, MapReduce, Hive, Pig, Kafka, Storm, Flink etc. is a plus.
 </li>
 <li>
 Experience with Java script, AngularJS, ReactJS, HTML5, CSS3 is nice to have.
 </li>
 <li>
 Proficient in agile development methodologies.
 </li>
 <li>
 Demonstrated ability to understand the business and ability to contribute to technology direction that gives to measurable business improvements.
 </li>
 <li>
 Ability to think out of the box in solving real world problems.
 </li>
 <li>
 Ability to adapt to changing business priorities and to thrive under pressure.
 </li>
 <li>
 Excellent decision-making, communication and collaboration skills.
 </li>
 <li>
 Risk domain expertise is a major plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Full Stack Software Engineer

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
Job Title: Data Analyst, Legal Analytics
Reports to: Sr. Analyst, Legal Analytics, Data Governance_NA
Location: Bangalore, India
Primary Responsibilities
Responsibilities include:<ul><li>
Main responsibility is supporting various Legal teams including Litigation, Government Relations, Criminal and Regulatory Investigations (CRI), etc. Responsibilities include running analytical projects, developing dashboards and ad-hoc queries and handling existing recurring reporting/dashboards which set the foundation for analytics and business insights used by the team and business partners.</li><li>
Apply your SQL coding technical expertise to discover, extract and validate data from various data sources and build actionable reports and analysis.</li><li>
Update and maintain SQL codes to conform to organization changes, deprecation schedules, and new developments.</li><li>
Demonstrated ability to work with large and varied data sources to make reporting and analysis reliable and efficient.</li><li>
Develop and improve Python scripts as needed for data processing, data cleaning, and data extraction.</li><li>
Build and improve Tableau dashboards or excel reports, whichever is appropriate and suits the requestors.</li><li>
Deliver high-impact, data-driven insights, recommendations, and metrics to eBay&rsquo;s Legal teams.</li><li>
Effectively communicate results to Legal partners and multi-functional groups.</li><li>
Collaborate with eBay&rsquo;s Policy, Rules, and partner Analytics teams globally to ensure alignment on metrics and analytical methodologies and to minimize duplication of efforts.</li></ul>
Characteristics<ul><li>
Excellent business judgment, analytical and problem-solving skills, and experience applying these skills to analyze large, sophisticated, multifaceted data sets.</li><li>
Good understanding of methods used to define and analyze data requirements needed to support the business and statistical analysis.</li><li>
Proven team player and consensus builder with proficient communication and coordination skills.</li><li>
Team member with good interpersonal abilities in a multi-cultural setting, self-assurance, positive outlook, and good decision-making.</li><li>
Clear passion for eBay&rsquo;s mission and business objectives.</li><li>
Ability to multi-task and prioritize work in a fast-paced and constantly evolving environment</li><li>
Mental flexibility, including ability to dive very deep into details of the data to ensure quality, while understanding the big picture objectives of a given project.</li></ul>
Skills &amp; experiences<ul><li>
5+ years related experience in Computer Science/Analytics/Consulting, (Master&rsquo;s degree preferred).</li><li>
Must have a demonstrable understanding of database / data modeling tools and concepts. Experience with database development and data warehousing concept/tools are required.</li><li>
Strong SQL skills (on Hive/SPARK environment) for querying and maintaining databases.</li><li>
Expert Excel (e.g., look-up functions, pivot tables, sophisticated functions, statistics).</li><li>
Experience with Tableau required.</li><li>
Python programming experience preferred.</li><li>
HADOOP experience will be advantageous.</li><li>
Experience with analyzing customer data in financial services, Internet, or top-tier consumer-focused company (in technology, consumer goods or retail domain) a plus.</li></ul>
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</div>

Data Analyst, Legal Analytics

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.<h2 class="jobSectionHeader">
About the team</h2>
eBay&rsquo;s CRM &amp; Loyalty Analytics team transforms customer data into decisions that enhance long-term value. We collaborate across Marketing, Product, Data Science, and Engineering to compose, measure, and enhance CRM programs for buyers, sellers, and central initiatives worldwide.<h2 class="jobSectionHeader">
Role overview</h2>
As Analytics Manager, you will own the strategy and execution of data-driven CRM measurement and optimization. You&rsquo;ll combine rigorous experimentation with machine-learning and AI to personalize experiences, improve engagement and retention, and increase customer lifetime value (CLV). The portfolio may focus on Buyer, Seller, or a cross-company initiative.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Achieve tangible results. Establish benchmarks and learning goals; develop structures that link campaign performance to business results, CLV, retention.</li><li>
Advance personalization with ML/AI. Develop or partner on models (propensity, churn, next-best action, send-time/content optimization, uplift modeling) and integrate them into CRM decisioning and orchestration.</li><li>
Lead experimentation at scale. Build and run A/B and multivariate tests; apply sound statistical methods (power analysis, capping, sequential testing, causal inference) to produce trustworthy results.</li><li>
Develop robust analytics. Use SQL/Python for data modeling and reproducible pipelines; compose self-serve datasets and dashboards to accelerate decision-making.</li><li>
Optimize channel strategy. Evaluate email, push, in-app, onsite, and lifecycle programs; recommend frequency, targeting, and creative strategies grounded in data.</li><li>
Tell the story. Translate complex analysis into clear, actionable recommendations for senior collaborators; influence roadmaps and CRM evolution.</li><li>
Improve the craft. Guide analysts, advocate for guidelines in documentation, code review, and experimentation hygiene; promote an inclusive, growth-focused culture.</li><li>
Safeguard data use. Partner with Legal/Privacy to ensure compliance (e.g., GDPR), guardrails, and responsible AI practices.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Hands-on CRM analytics experience delivering impact in a consumer or marketplace context.</li><li>
Machine-learning &amp; AI experience applied to CRM/personalization (e.g., propensity, churn, LTV/CLV modeling, recommendation/next-best action, uplift).</li><li>
Experimentation &amp; statistics expertise, including test building, sample sizing, variance reduction, and causal inference.</li><li>
SQL and Python proficiency for data wrangling, modeling, and automation; familiarity with data warehouses and version control.</li><li>
Dashboarding &amp; data visualization skills (Tableau preferred) to build clear, credible self-serve insights.</li><li>
Business sense proven through translating insights into strategies that yield measurable outcomes.</li><li>
Communication &amp; collaborator leadership across Marketing, Product, and Engineering; ability to influence at executive level.</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with marketing tech stacks (contact strategy decisioning/orchestration, unified data platforms, experimentation platforms) and event-level data.</li><li>
Familiarity with Spark/Databricks, Airflow, or similar for scalable pipelines.</li><li>
Knowledge of generative AI applications for CRM content/testing and guardrail development.</li><li>
Marketplace or two-sided platform experience.</li></ul><h2 class="jobSectionHeader">
How you&rsquo;ll succeed here</h2>
You balance scientific rigor with speed, automate the repeatable, and obsess over long-term customer value. You&rsquo;re comfortable shipping MVPs, learning fast, and setting a higher standard for ethical, privacy-aware analytics.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</div>

CRM Analytics Manager

<div>At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!
Who Are We?
The Product Knowledge team is at the epicenter of eBay&rsquo;s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay&rsquo;s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!
What Will You Do?
We are looking for seasoned Applied Researchers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers. If you love a good challenge, and are good at handling complexity - we&rsquo;d love to hear from you!
eBay is an amazing company to work for. Being on the team, you can expect to benefit from:<ul><li>
A competitive salary - including stock grants and a yearly bonus</li><li>
A healthy work culture that promotes business impact and at the same time highly values your personal well-being</li></ul>
Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world&rsquo;s population, and takes every opportunity to make this clearly apparent
Job Summary
As a Manager of Applied Machine Learning, you will lead a high-impact team of scientists and engineers building state-of-the-art machine learning systems to solve critical problems that affect millions of eBay users. You will set the direction, nurture talent, and ensure excellence in execution and scientific rigor, while collaborating across product, engineering, and operations to deliver measurable customer and business impact.
Key Responsibilities<ul><li>
Drive Strategy &amp; Vision: Partner with senior leadership, product management, and other stakeholders to define and execute the machine learning roadmap aligned with business goals.</li><li>
Team Leadership: Lead, mentor, and grow a team of ML scientists and engineers. Create an environment that encourages innovation, high performance, and career development.</li><li>
Technical Oversight: Guide and review the development of machine learning models and data pipelines, ensuring scalability, scientific validity, and production readiness.</li><li>
Cross-Functional Collaboration: Collaborate with Product and Analytics teams to scope projects, prioritize initiatives, and ensure seamless data and model integration.</li><li>
Operational Excellence: Define project goals, success metrics, and delivery timelines. Ensure effective resource allocation and continuous improvement in team processes.</li><li>
Foster Scientific Rigor: Uphold high standards of experimentation, measurement, and peer review. Promote the use of reproducible research and robust evaluation practices.</li><li>
Data Strategy: Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed.</li><li>
Talent Development: Provide coaching and technical guidance to team members. Conduct performance reviews, identify skill gaps, and invest in team capability building.</li><li>
Hiring: Attract, interview, and hire top talent to grow the team and enhance its diversity of thought and background.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management.</li><li>
Proven experience leading machine learning teams in an applied industrial setting.</li><li>
Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning.</li><li>
Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems.</li><li>
Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.</li><li>
Excellent communication, storytelling, and stakeholder management skills.</li><li>
Demonstrated ability to translate business needs into scientific problems and to prioritize for impact.</li></ul> 
Additional Qualifications<ul><li>
Master&rsquo;s or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.)</li><li>
Track record of impactful publications and/or patents in machine learning or related areas.</li><li>
Contributions to open-source ML tools or frameworks.</li><li>
Experience with modern large language models, graph-based ML, or knowledge graph construction.</li><li>
Strong presence in scientific communities through talks, panels, or organizing roles.</li></ul> 
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. 
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.</div>

Senior Applied Researcher

Join eBay and explore 12   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.