Sr. Machine Learning Engineer, AGI FoundationsJob ID: 2860903 | Amazon.com Services LLC
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior SDE with a strong machine learning background, to lead the development of industry-leading models with multimodal systems.
As a Senior SDE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers and will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
Key job responsibilitiesResponsible for pre-training multimodal LLMsWork closely with Applied scientists to scale pre-training of machine learning models on GPUs while optimizing the training workflows using highly distributed training techniques and frameworks (Like FSDP, NVIDIA NeMo, Megatron Core etc)Investigate design approaches, prototype new technology and evaluate technical feasibility.Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.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 (design patterns, reliability and scaling) of new and existing systems experienceExperience as a mentor, tech lead or leading an engineering team2+ years of expertise in Machine Learning and model trainingPREFERRED QUALIFICATIONS5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentExpertise in training Generative AI vision modelsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Our compensation reflects the cost of labor across several US 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. Dependent 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.
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