Jobs / United States / Ebay INC
Applied Researcher
Ebay INC · 🇺🇸 Aachen
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ebay INC paid sponsored hires in similar roles7 certified filings for “Applied Researcher 3” (Computer and Information Research Scientists) in TX: $153k–$193k, median $185k. Most were filed at wage level IV (71%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Ebay INC
The US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ebay INC →
About the role
At eBay, we're more than a global ecommerce leader — we’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’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 — 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 — and help us connect people and build communities to create economic opportunity for all. At eBay, we’re more than a global ecommerce leader. We’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’re committed to pushing boundaries and reinventing the future of ecommerce for enthusiasts. About the team and the role The Foundation Models team builds next-generation Generative AI capabilities and products that power intelligent experiences across eBay at global scale. We work across the full AI lifecycle, from applied research and model development to evaluation, optimization, productionization, and integration into customer-facing products and platform capabilities. We are looking for an Applied Researcher, Generative AI to join the team as an individual contributor. You will work on challenging applied research problems involving foundation models and Generative AI, developing new approaches and translating them into capabilities that can deliver measurable impact for eBay customers. You will work closely with other researchers, machine learning engineers, product teams, and AI platform teams, with opportunities to contribute across the lifecycle from research and experimentation to production. This role is well suited to someone with strong research foundations who also enjoys building and experimenting with real systems and wants to see their research translated into products at scale. What you will accomplish • Research, develop, and evaluate new approaches for Generative AI and foundation models, addressing challenging problems with direct relevance to eBay's customers and marketplace. • Design and run rigorous experiments across areas such as LLMs, multimodal models, agents, model adaptation and post-training, retrieval and context, and learning from feedback. • Develop models and prototypes and work with machine learning engineers to translate promising research into scalable capabilities and production systems. • Build and improve methods for model training, fine-tuning, evaluation, and continuous improvement using human, user, and production feedback. • Work with large-scale text, image, behavioral, and marketplace data to formulate research problems, develop solutions, and measure their impact through offline and online evaluation. • Collaborate across research, engineering, product, and platform teams while contributing to eBay's scientific and technical community through knowledge sharing, publications, patents, open-source work, or other technical contributions. What you will bring • PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related quantitative field, or equivalent research experience, with demonstrated ability to conduct high-quality machine learning research. • Hands-on research experience in one or more areas such as Large Language Models, multimodal models, NLP, agents, post-training, reinforcement learning, retrieval, or learning from feedback. • Strong understanding of modern machine learning methods and the ability to formulate research questions,