The Machine Learning Engineer will be part of the Sequence Models team, which focuses on developing sequence models to enhance the understanding of customer journeys across Amazon's diverse products. This role involves streamlining the model development lifecycle from research to production, utilizing advanced technologies such as Generative AI and Natural Language Processing. The engineer will also work on building ML infrastructure and establishing MLOps practices to facilitate rapid experimentation and deployment of models. The position requires solving complex challenges associated with large-scale data storage and processing.

• 3+ years of non-internship professional software development experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications using C#, C++, Java, or Perl
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience with Machine Learning and Large Language Model fundamentals, including architecture and optimization of model execution
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Knowledge of machine learning model architecture and inference
• Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems

• Build and scale ML infrastructure across data processing, distributed training, and model serving.
• Own the data pipelines that feed model training, including ingestion of structured and unstructured inputs.
• Partner with Applied Scientists to shorten the time from experiment to production.
• Evolve model serving and feature delivery to support continuous experimentation.
• Establish automated, repeatable processes for large-scale data analysis, model training, validation, and deployment.
• Own operational excellence for high-volume, low-latency production systems, including monitoring and troubleshooting.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.