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Applied Scientist II - Machine Learning - Amazon.com
ML Engineer
Develop and deploy advanced machine‑learning algorithms that optimize millions of daily transactions, own end‑to‑end business metrics, and turn terabytes of data into profitable solutions for customers.
About the role
Key Responsibilities
- Design, implement, and scale state‑of‑the‑art machine‑learning models that improve transaction efficiency and customer value.
- Analyze and model large‑scale datasets (terabytes) to uncover actionable insights and drive business metrics.
- Build end‑to‑end pipelines on AWS, integrating data preprocessing, feature engineering, model training, and real‑time inference.
- Collaborate with product, engineering, and data teams to translate business problems into scalable algorithmic solutions.
- Monitor model performance in production, conduct A/B tests, and iterate to continuously improve profitability.
Requirements
- Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
- Solid foundation in statistical modeling, hypothesis testing, and experimental design.
- Hands‑on experience building and deploying models on AWS services (SageMaker, EMR, Lambda, etc.).
- Proven ability to work with big‑data technologies (Spark, Hadoop) and process terabyte‑scale datasets.
- Excellent problem‑solving mindset with a track record of delivering measurable business impact.
Skills
pythonmachine learningdeep learningaws