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)
Additional DetailsBase 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.
