SDE II

Translation Services seeks a passionate Machine Learning Engineer (MLE) to drive innovations in image translation technology to reach every Amazon customer in their own language. Are you excited about pushing the boundaries of computer vision and language translation at massive scale? Do you thrive in environments where you can lead innovation in Visual Language Models? If so, we're seeking a Machine Learning Engineer to join the Translation Services (TS) India Science team. TS provides technology solutions and services that deliver quality translations at the lowest possible cost for Amazon businesses. As our MLE, you'll be at the forefront of developing and deploying state‑of‑the‑art image translation systems that detect, extract, and translate text within images, making visual content accessible across languages for millions of Amazon customers worldwide. Key job responsibilities Build top notch ML infrastructure: Develop and maintain critical infrastructure needed for developing, training, evaluating, and deploying Visual Language Models (VLM) and LLMs for real‑world image translation applications at Amazon scale. Drive innovation in VLM space: Quickly learn and apply new technologies and algorithms in Generative AI, Computer Vision, and NLP to build best‑in‑class visual language translation models. Scale ML systems: Work closely with Applied Scientists to process massive image datasets, scale machine learning models, and optimize training pipelines for large‑scale model training and inference. Lead technical design: Investigate design approaches, prototype new technology, and evaluate technical feasibility of innovative solutions in the image translation domain. Optimize for production: Develop training algorithms and modeling techniques that push the boundaries of large model training while ensuring high performance, reliability, and cost efficiency. End‑to‑end ownership: Take full ownership of ML systems from design and development through deployment and monitoring in production environments. About the team We have multiple talented engineering teams based in Seattle, WA and Hyderabad, India with great office spaces where we collaborate. Our India Science team is pioneering the future of image translation technology. Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services. Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands‑off‑the‑wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible. Our Impact: In a recent year, 7,800+ users from 180+ Amazon teams used our systems to translate 274 billion words. You'll be expanding this impact into the visual domain. Basic Qualifications 3+ years of non‑internship professional software development experience 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, JAX)Experience building and deploying ML models in production environments Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with deep learning, particularly in computer vision (OCR, object detection, image segmentation) or NLP/machine translationExperience with large‑scale distributed training and model optimization techniques Experience with Visual Language Models (VLM), multimodal learning, or document understanding Strong understanding of ML infrastructure, including data pipelines, model serving, and monitoring systems Publications or contributions to open‑source ML projects Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. #J-18808-Ljbffr