We Empower People and Create Economic OpportunityeBay Inc. (NASDAQ: EBAY) is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes.

eBay

Staff Machine Learning Engineer

Social Media Lead, eBay Live

Legal Operations Specialist

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eBay Live Business Development Mgr

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Onboarding and Activation Specialist

Performance Marketing Analyst Search Ads

As a Senior Staff Machine Learning Engineer at eBay, you will be a technical leader within the Risk & Compliance organization, crucial for protecting the integrity of our global marketplace. This role involves driving the architecture and delivery of end-to-end AI systems, with a strong emphasis on Generative AI and agentic AI, to solve complex, high-impact risk problems. You will leverage deep hands-on expertise, strategic thinking, and leadership to influence initiatives across multiple teams, ensuring scalable, reliable, and compliant AI solutions.

Software Development Engineer – Federated GraphQL Platform

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Role</h2><p class="my-4 text-gray-700 leading-relaxed">At eBay, Risk & Compliance plays a critical role in protecting the integrity of our global marketplace and ensuring trust for millions of buyers and sellers worldwide. Our mission spans fraud prevention, regulatory compliance, financial crime, abuse detection, and policy enforcement—operating at massive scale and under constantly evolving regulatory requirements.</p><p class="my-4 text-gray-700 leading-relaxed">We are seeking a Senior Staff Machine Learning Engineer to serve as a technical leader within the Risk & Compliance organization. This role is responsible for driving the architecture and delivery of end-to-end AI systems, with a strong emphasis on Generative AI and agentic AI, to address complex, high-impact risk problems across the platform.</p><p class="my-4 text-gray-700 leading-relaxed">This is a senior technical role with significant autonomy and influence, requiring deep hands-on expertise, strategic thinking, and the ability to lead initiatives that span multiple teams and domains.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Primary Job Responsibilities</h3><p class="my-4 text-gray-700 leading-relaxed">As a Senior Staff Machine Learning Engineer in Risk & Compliance, you will operate as a technical authority and multiplier. Your responsibilities include, but are not limited to:</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Own and drive the technical vision for large-scale ML and AI systems supporting fraud detection, risk assessment, compliance enforcement, and policy automation.</li><li class="leading-relaxed">Architect and deliver end-to-end AI solutions, from data strategy and feature engineering through model training, deployment, and real-time or batch inference.</li><li class="leading-relaxed">Lead the design and implementation of Generative AI and agentic AI systems, including LLM-based decision support, autonomous investigation agents, workflow orchestration, and human-in-the-loop systems.</li><li class="leading-relaxed">Translate ambiguous regulatory, policy, and business requirements into scalable, reliable, and explainable ML architectures.</li><li class="leading-relaxed">Design and optimize high-throughput ML and data pipelines operating on massive, heterogeneous datasets across distributed systems.</li><li class="leading-relaxed">Partner closely with applied researchers, policy teams, legal, operations, and platform engineering to ensure AI solutions are effective, compliant, and production-ready.</li><li class="leading-relaxed">Act as a technical owner across multiple initiatives, setting architectural standards, reviewing designs, and influencing long-term platform direction.</li><li class="leading-relaxed">Drive MLOps best practices including model lifecycle management, automated testing, monitoring, retraining, and governance.</li><li class="leading-relaxed">Ensure systems meet risk, compliance, and responsible AI requirements, including robustness, auditability, fairness, and transparency.</li><li class="leading-relaxed">Mentor senior engineers and ML practitioners, raising the technical bar and fostering a culture of engineering excellence.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Skills and Experience</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s, Master’s, or PhD in Computer Science or a related technical field, or equivalent practical experience.</li><li class="leading-relaxed">8+ years of industry experience building, deploying, and operating machine learning systems at scale.</li><li class="leading-relaxed">Demonstrated success delivering end-to-end ML and AI solutions in production, including ownership of system architecture and long-term evolution.</li><li class="leading-relaxed">Deep expertise in Machine Learning, Deep Learning, and NLP, with hands-on experience in Generative AI (LLMs, RAG, prompt engineering, evaluation).</li><li class="leading-relaxed">Experience designing or implementing agentic AI systems, such as autonomous agents, tool-using agents, multi-step reasoning, or decision orchestration frameworks.</li><li class="leading-relaxed">Strong background in distributed systems and large-scale data processing (e.g., Spark, Hadoop, streaming platforms).</li><li class="leading-relaxed">Proficiency in Python and at least one additional language such as Java or Scala.</li><li class="leading-relaxed">Excellent system design skills, with a track record of building scalable, reliable, and maintainable production systems.</li><li class="leading-relaxed">Experience with MLOps, including CI/CD for ML, model monitoring, performance tracking, and governance workflows.</li><li class="leading-relaxed">Proven ability to lead through influence, communicate complex ideas clearly, and collaborate effectively across engineering, product, and non-technical stakeholders.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Nice to Have</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience applying ML or AI to fraud detection, financial crime, abuse prevention, or regulatory compliance.</li><li class="leading-relaxed">Hands-on experience deploying LLMs on GPU-based or distributed inference infrastructure.</li><li class="leading-relaxed">Prior experience in large-scale marketplaces, payments, or consumer-facing platforms.</li></ul>

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<p>- This assessment gives us an idea of your C++ skills<br>- Companies that evaluate this skillset in interviews: <strong>Rockstar Games, Ubisoft, Mayhem Studios, etc.</strong><br>- 10 Multiple Choice questions<br>- Average time to complete: <strong>7 to 10 minutes</strong></p>

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Bizee

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As a Data Engineer at Bizee, you will be responsible for building the core data infrastructure, including designing and implementing data pipelines, creating the Master Data Repository (MDR), integrating various business systems like NetSuite, and ensuring high data quality. This hands-on role involves daily coding, owning pipelines end-to-end, and leveraging AI coding tools to accelerate development and solve complex data challenges, directly impacting finance, product, and AI initiatives.

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Senior Lifecycle Automation & Marketing Operations Manager

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Bizee</h3><p class="my-4 text-gray-700 leading-relaxed">Bizee (formerly Incfile) has helped over 1 million entrepreneurs start and run their businesses. We are transforming from a transaction-focused formation business to an AI-powered operating system for entrepreneurs.</p><p class="my-4 text-gray-700 leading-relaxed">We champion the everyday entrepreneur. We believe in self-determination, grit, and earned success. No fluff, no jargon, no pretense. We work hard, ship fast, and let our products speak for themselves.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Makes Working Here Different</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Build the Data Foundation:</strong> You are not maintaining legacy pipelines. You are building the Master Data Repository that powers AI, analytics, and business operations.</li><li class="leading-relaxed"><strong>Real Complexity:</strong> 50+ state jurisdictions, hundreds of thousands of customers, compliance data that changes constantly. Your pipelines will handle real-world messiness.</li><li class="leading-relaxed"><strong>AI-Native Development:</strong> We use Claude Code across engineering. You will build data pipelines faster than you thought possible.</li><li class="leading-relaxed"><strong>Business Impact:</strong> Your work directly enables Finance reporting, Product analytics, AI recommendations, and operational efficiency. Data is not a support function here.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The Role</h3><p class="my-4 text-gray-700 leading-relaxed">As a Data Engineer, you will build the data infrastructure that powers Bizee. You will design and implement data pipelines, build the Master Data Repository (MDR), integrate with NetSuite and other business systems, and ensure data quality across the organization.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>This is a hands-on building role. You will write code every day.</strong> You will own pipelines end-to-end: from source integration to transformation to serving analytics and AI systems. You report to the Technical Lead, Data Platform and work closely with Finance, Product, and AI teams.</p><p class="my-4 text-gray-700 leading-relaxed">This is a hands-on, AI-powered engineering role. You use Claude Code to accelerate pipeline development, debug data quality issues, and write transformation logic. If you have not used AI coding tools, you will learn fast here.</p><p class="my-4 text-gray-700 leading-relaxed">Reports to Technical Lead, Data Platform.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Deliver</h3><p class="my-4 text-gray-700 leading-relaxed"><strong>In your first year:</strong></p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Master Data Repository:</strong> Build core MDR entities (customers, orders, entities, compliance state) with 95%+ data quality.</li><li class="leading-relaxed"><strong>NetSuite Integration:</strong> Build reliable data pipelines between operational systems and NetSuite for financial reporting and reconciliation.</li><li class="leading-relaxed"><strong>Analytics Infrastructure:</strong> Enable self-service analytics for Finance, Product, and Operations teams with clean, documented data models.</li><li class="leading-relaxed"><strong>Data Quality:</strong> Implement data quality monitoring, alerting, and lineage tracking supporting SOC-2 compliance.</li><li class="leading-relaxed"><strong>AI Data Foundation:</strong> Build feature pipelines that power AI recommendations and compliance intelligence.</li><li class="leading-relaxed"><strong>Pipeline Reliability:</strong> 99%+ pipeline uptime with automated recovery and clear runbooks.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You Will Own</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Data Pipelines:</strong> Design, build, and maintain ETL/ELT pipelines from source systems to data warehouse and analytics layer.</li><li class="leading-relaxed"><strong>Master Data Repository:</strong> Build and maintain the single source of truth for core business entities with clear data contracts.</li><li class="leading-relaxed"><strong>System Integrations:</strong> NetSuite, HubSpot, Zendesk, payment processors, and state filing systems. You connect the data dots.</li><li class="leading-relaxed"><strong>Data Quality & Governance:</strong> Monitoring, alerting, lineage, and documentation. You ensure data is trustworthy.</li><li class="leading-relaxed"><strong>Analytics Enablement:</strong> Build data models and transformations that enable business users to answer their own questions.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We're Looking For</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed"><strong>Data Engineering Experience:</strong> 2-5+ years building data pipelines in production. You have owned pipelines end-to-end.</li><li class="leading-relaxed"><strong>SQL Mastery:</strong> You think in SQL. Complex joins, window functions, and query optimization are second nature.</li><li class="leading-relaxed"><strong>Python Proficiency:</strong> You write clean, maintainable Python for data pipelines, transformations, and tooling.</li><li class="leading-relaxed"><strong>Modern Data Stack:</strong> Experience with tools like dbt, Airflow, Snowflake, BigQuery, Fivetran, or similar. You know the ecosystem.</li><li class="leading-relaxed"><strong>ERP/Business Systems:</strong> Experience integrating with NetSuite, Salesforce, HubSpot, or similar business systems is a strong plus.</li><li class="leading-relaxed"><strong>AI Tool Adoption:</strong> You use (or are eager to use) AI coding tools like Claude Code to accelerate your work.</li><li class="leading-relaxed"><strong>Data Quality Mindset:</strong> You care about data accuracy, completeness, and timeliness. You build monitoring before someone asks.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Will Make You Stand Out</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You have built MDR or data warehouse solutions that became the trusted source of truth.</li><li class="leading-relaxed">Direct experience with NetSuite data integration and financial reporting pipelines.</li><li class="leading-relaxed">You have used Claude Code or similar AI tools to build data pipelines faster.</li><li class="leading-relaxed">Experience in compliance, legal tech, fintech, or regulatory-heavy industries.</li><li class="leading-relaxed">You have built data pipelines that power ML/AI systems (feature stores, training data).</li><li class="leading-relaxed">SOC-2 or similar compliance experience with data lineage and audit requirements.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">This Role Is NOT For You If...</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You prefer dashboards and BI over building pipelines. This is an engineering role.</li><li class="leading-relaxed">You want to work on one narrow slice. You will own pipelines end-to-end.</li><li class="leading-relaxed">You are not comfortable with ambiguity. Source systems are messy; you figure it out.</li><li class="leading-relaxed">You resist AI coding tools. We expect you to adopt and use them.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What We Don't Care About</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">CS degree (show us your pipelines and SQL skills).</li><li class="leading-relaxed">Big company pedigree (show us what you have built).</li><li class="leading-relaxed">Certifications (show us your problem-solving ability).</li><li class="leading-relaxed">Years of experience (show us your impact and velocity).</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Level Expectations</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Data Engineer: <=5 years experience. You can build and own pipelines with guidance on architecture.</li><li class="leading-relaxed">Sr. Data Engineer (: 5-8+ years experience. You design systems independently and mentor others.</li></ul><p class="my-4 text-gray-700 leading-relaxed"><strong>Interview Note:</strong> We will ask you to walk through pipelines you have built, write SQL live, and discuss how you would approach a real data integration problem. If you use AI coding tools, show us how.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits</h3><p class="my-4 text-gray-700 leading-relaxed">Available benefits include: Health Care Plan (Medical, Dental & Vision), Life Insurance (Basic, Voluntary & AD&D), Virtual Wellness Resources, Work From Home</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.