Applied Researcher 1

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.

About the team and the role:

eBay, Inc. seeks Applied Researcher I in Portland, OR 

What you will accomplish: 

Job Duties: Lead the design and implementation of sophisticated algorithms to enhance the selling experience and build user trust. Develop machine learning models and scalable data pipelines to deliver practical, data-driven solutions. Stay informed about the latest advancements in algorithms and machine learning, integrating innovative techniques to improve business metrics and user experience. Collaborate with cross-functional teams to transition research insights into production systems, ensuring scalability and performance. Conduct experiments and analyze data to drive continuous model improvements. Communicate research findings and technical concepts effectively to both technical and non-technical stakeholders. Possess expertise in machine learning and data science, with experience in areas such as Generative AI, NLP, recommendation systems, ranking, fraud detection, or online advertising. Possess proficiency in Python, Java, or similar languages, with experience using ML frameworks like TensorFlow or PyTorch. Utilize familiarity with big data tools such as Hadoop, Spark, and SQL. Partial telecommuting permitted from within a commutable distance.

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering (any field), or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering (any field) or a closely related field plus five years of experience in the job offered or a related occupation.

Special Skill Requirements: 

• Experience on working with high-impact LLM applications (2 years)
• Designing scalable labeling strategies (human-in-the-loop, weak supervision, and synthetic data generation) with a focus on quality control and bias mitigation (2 years)
• Evaluating and fine-tuning vision based foundation models for diverse tasks such as classification, segmentation and detection (2 years)
• Developing and optimizing machine learning and deep learning models using PyTorch (2 years)
• Experience with working on data pipelines and ETL workflows using SQL and Python (2 years)
• Conducting AI research and development involving models such as Convolutional Neural Networks (CNNs) and Transformers (2 years)
• Experience with working with large-scale datasets for data processing and model training (2 years)
• Applying object-oriented design principles and developing scalable software systems in Python (2 years)
• Building and evaluating end-to-end AI systems, from data ingestion to model deployment (2 years)
• Using version control systems (Git) and cloud platforms (AWS, GCP) for machine learning development and deployment (2 years)
• Implementing containerization using Docker to run isolated services (2 years)
• Using CI/CD pipelines with GitHub for software integration and deployment workflows (2 years)
• Applying automated labeling techniques to accelerate data generation and model iteration (2 years)
• Optimizing models for runtime efficiency, including improvements in latency and memory consumption performance (2 years)
   

EOE, including disability/vets.

Must be legally authorized to work in the U.S. without sponsorship. 

Additional Details

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

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 [email protected]. 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.

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