eBay
Sr. Applied Researcher — AI/ML
Toronto · Senior
Sponsorship not specifiedDetected 19 days ago
PythonReactMachine LearningPandasData EngineeringNLPLLMsMLOpsAI OrchestrationStatisticsAccessibilityResearchExperimental Design
Stay score
odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 96%
Of 77 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 480 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
55 transfer filings in the last year, covering 55 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
- About the team and the role Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce?
- Want to shape how millions of people buy, sell, connect, and share around the world?
Requirements
- Hands-on experience with gradient boosting (LightGBM, XGBoost, CatBoost), including custom loss function design.
- Proficiency in advanced prompt engineering techniques: Chain-of-Thought, ReAct, few-shot calibration, structured output contracts, and context caching.
- Experience designing and deploying LLM-based classification or generation systems in production environments.
- Demonstrated experience with agentic system patterns: tool-calling architectures, intent routing, multi-step reasoning, and safety/guardrail layers.
- Familiarity with knowledge distillation: training lightweight encoder models (BERT-class or smaller) from LLM teacher signal.
- Experience with marketplace or e-commerce economics: price elasticity estimation, two-sided market dynamics, behavioral pricing.
- Track record of applying academic ML/NLP literature to production systems.
- you know which problems need first principles and which need engineering judgment.
- Expertise in causal inference for ML: double machine learning, heterogeneous treatment effect estimation, observational study design, confounder handling.
- Ability to build LLM evaluation frameworks: synthetic dataset construction, inter-annotator agreement measurement, and LLM-as-judge methodology.
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field, plus 3+ years of industry research experience
- Bonus Points
Nice to have
- Production-level experience taking ML research from prototype to deployed system, with accountability for KPIs and measurable business impact.
- Proficiency in Python with a modern data engineering stack (polars/pandas, pyarrow, scipy/statsmodels)
- familiarity with LangChain or an equivalent LLM orchestration framework.
- or MS in a related field with 5+ years of applied ML research experience demonstrating equivalent depth.
- Experience with survival analysis or competing-risks models in marketplace or platform settings.
Company info
- At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells.
- 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.
This listing is sourced directly from eBay's careers page and normalized into a canonical job model.