Amazon Senior Machine Learning Engineer Shopping Conversation Foundation 

United States, Washington, Seattle 

45227475

As a Senior Machine Learning Engineer in the SCF org, you will specialize in building engineering solutions for information retrieval problems on unstructured and noisy data at internet scale. You’ll tackle challenges such as retrieving relevant information from vast amounts of unstructured data sources like product specifications, expert opinions and customer reviews. You will need to develop innovative techniques to handle noise and ambiguity in natural language data while ensuring high precision and recall. Success in this role requires a deep understanding of machine learning, information retrieval techniques, natural language processing, and the ability to stay up-to-date with the latest advancements. Additionally, you will need to make high-judgment decisions when proposing trade-offs between factors such as model accuracy, computational efficiency, and data privacy, and work closely with cross-functional stakeholders to understand business requirements and propose innovative solutions.Key job responsibilities
- Research, design, and develop cutting-edge information retrieval and natural language processing solutions to address complex challenges in the shopping domain, such as retrieving relevant information from unstructured and noisy data sources at internet scale.
- Design, develop, test, and deploy inference solutions for high-end large language models (LLMs) and other machine learning models, ensuring efficient and reliable performance in production environments.
- Investigate and implement inference optimization techniques, such as model quantization, pruning, and hardware acceleration, to improve the performance and cost-effectiveness of deployed models.
- Operationalize machine learning models by following best practices for model deployment, monitoring, and maintenance, ensuring seamless integration with existing systems and infrastructure.
- Mentor and guide junior machine learning engineers, fostering their growth and development through knowledge sharing, code reviews, and hands-on coaching.

- 5+ years of non-internship professional software development experience
- 3+ years of experience building solutions using machine learning
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team