Amazon's Artificial General Intelligence (AGI) Team is responsibly advancing the company’s generative AI technologies, including Amazon’s most expansive multimodal Large Language Models. We are looking for a motivated Machine Learning Engineer that will join our mission by building highly scalable, resilient, and performant training code, systems and infrastructure. You will work in close collaboration with data scientists and research teams to productionize ML models.
Key job responsibilities
-Design, develop and maintain ML model serving infrastructure to enable high-throughput, low-latency entity resolution predictions in production environments
-Collaborate with applied scientists to productionize research models, including implementing model improvements and new architectures for entity matching and deduplication
-Develop efficient data processing pipelines to handle large-scale training and inference data for entity resolution models
-Support experimentation and A/B testing infrastructure to evaluate model improvements
-Work closely with downstream engineering teams to integrate entity resolution capabilities into various product surfaces
-Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
-Strong understanding of ML fundamentals and common optimization techniques
-Experience with data processing and ETL pipelines at scale
- Proven track record of collaborating with data scientists and research teams to productionize ML models
Key job responsibilities
-Design, develop and maintain ML model serving infrastructure to enable high-throughput, low-latency entity resolution predictions in production environments
-Collaborate with applied scientists to productionize research models, including implementing model improvements and new architectures for entity matching and deduplication
-Develop efficient data processing pipelines to handle large-scale training and inference data for entity resolution models
-Support experimentation and A/B testing infrastructure to evaluate model improvements
-Work closely with downstream engineering teams to integrate entity resolution capabilities into various product surfaces
-Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
-Strong understanding of ML fundamentals and common optimization techniques
-Experience with data processing and ETL pipelines at scale
- Proven track record of collaborating with data scientists and research teams to productionize ML models