Job Description
The Amazon Search Relevance team is seeking a Machine Learning Engineer II to join our dynamic team. Our mission is to enhance the search experience for Amazon customers by developing and deploying advanced machine learning models. You will be part of a team that is responsible for ranking relevant results when customers search for products on Amazon, operating on one of the world's largest product catalogs.
Key Responsibilities
- Design and Build: Develop scalable infrastructure that supports the training, evaluation, and deployment of machine learning models over billions of data points.
- Monitoring and Evaluation: Create tools to monitor the performance of machine learning models at scale.
- Data Management: Develop lineage and artifact tracking infrastructure for training data, ML models, and experiments.
- ML Pipelines: Design reproducible ML pipelines that enhance the interpretability and trustworthiness of ML models.
- Best Practices: Champion engineering best practices within the team and beyond.
- Code Quality: Produce clean, high-quality code, tests, and documentation.
Basic Qualifications
- 3+ years of professional software development experience.
- 2+ years of experience in design or architecture of new and existing systems.
- Proficiency in at least one programming language.
- Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
Preferred Qualifications
- 3+ years of experience in the full software development life cycle.
- Bachelor's degree in computer science or equivalent.
About the Team
You will join a highly talented team of engineers and applied scientists working on solving complex problems in a collaborative environment. This role offers exposure to cutting-edge ML innovations in product search, information retrieval, deep learning, and statistics.
Why Amazon?
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year to $223,600/year. Additional compensation may include equity, sign-on payments, and other benefits.
Join us and be part of a team that is building the future of search at Amazon.
Benefits Extracted with AI
- Medical benefits
- Financial benefits
- Equity
- Sign-on payments
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