ML Engineer, Generative AI Innovation Center

ML Engineer, Generative AI Innovation CenterThe Generative AI Innovation Center at AWS empowers customers to harness state‑of‑the‑art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers and architects collaborates with customers across industries to fine‑tune and deploy customized generative AI applications at scale. We also work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains and modalities. You will be responsible for fine‑tuning state‑of‑the‑art LLMs for diverse use cases while optimizing models for high‑performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end‑to‑end LLM training pipelines at massive scale and delivering next‑generation AI solutions for top AWS clients.Key ResponsibilitiesLarge‑Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.LLM Customization & Fine‑Tuning: Adapt LLMs for new languages, domains and vision applications through continued pre‑training, fine‑tuning and Reinforcement Learning with Human Feedback (RLHF).Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co‑developing tailored generative AI solutions.Define path to production for generative AI solutions and implement large‑scale production generative AI solutions.CompensationThe minimum base pay for this position is PLN 23,008.33 monthly. Amazon’s package may include additional components such as a sign‑on payment and eligibility to participate in a restricted stock unit scheme.BenefitsBenefits are discretionary and may include pension plans, health insurance, life and disability insurance, business travel insurance, a MultiSport card, an employee discount program, commuter benefits where applicable and an Employee Assistance Program offering private and confidential counselling and referral services.Basic Qualifications3+ 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.Hands‑on experience with deep learning and/or machine learning methods (e.g. for training, fine‑tuning and inference).Hands‑on experience with generative AI technology.Preferred QualificationsHands‑on experience with at least one ML library or framework.2+ years of professional experience in developing, deploying or optimizing ML models.2+ years of professional experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations.Equal Opportunity and InclusionAmazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. Recruiting decisions are based on experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of candidates. 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.#J-18808-Ljbffr