Job ID: 2668768 | Amazon.Com Services LLCDo you want to join an innovative team of engineers and scientists who use terabytes of data and create state-of-the-art algorithms to push the boundaries of AI? We are building the foundational behavioral model for Amazon Stores using LLM and Large Model training techniques that fuses general world knowledge with Amazon e-commerce domain knowledge. We are searching for engineers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this revolutionizing adventure!Key Job ResponsibilitiesLead the design and implementation of a stable and efficient training infrastructure that scales to a large model size and hardware such as GPU.Collaborate with other talented applied scientists and engineers to develop an improved training infrastructure that accelerates innovation.Quickly learn cutting-edge technologies and algorithms in the field of Generative AI.Basic Qualifications5+ years of non-internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture of new and existing systems (design patterns, reliability, and scaling)Experience as a mentor, tech lead, or leading an engineering teamExperience in developing machine learning pipelines, large language model,



or natural language understanding modelsPreferred Qualifications5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceMaster or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processingExperience with CUDAExperience with PyTorch or TensorFlowExperience with distributed trainingAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.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, please visit https://amazon.Jobs/content/en/how-we-hire/accommodations for more information.Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.Aboutamazon.Com/workplace/employee-benefits.#J-18808-Ljbffr

📌 Sr. Machine Learning Engineer - $151,300 - $261,500 A Year (Città Metropolitana di Torino)
🏢 Amazon
📍 Città Metropolitana di Torino