Senior Machine Learning Engineer, Generative AI, AGI Inference Engine
2 tygodni temu
Job ID: 2941347 | AMZN Dev Cntr Poland sp. z.o.o
The Artificial General Intelligence (AGI) Inference Engine team is looking for a highly-skilled Senior ML Engineer, to lead the research and implementation of novel techniques to push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models.
Key job responsibilities:
- Design, develop, test and deploy inference solutions for high-end LLMs and diffusion models.
- Explore emerging inference optimization techniques for LLMs and diffusion models.
- Design and conduct experiments, analyze results and influence Amazon AGI roadmap by providing recommendations.
- Optimize performance of LLMs and diffusion models on best-in-class GPU and AWS Neuron hardware.
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI.
- Mentor and guide junior engineers, and contribute to the overall growth and development of the team.
Senior engineers in our team are independent and have much freedom in the way they contribute. They read recent papers, explore ideas, brainstorm and freely connect with others to cooperate. They detect, investigate and resolve complex problems, sometimes through creating software solutions, and sometimes just through finding and reusing something that exists. They partner with leaders to focus on right things and make good decisions. They ensure the team follows best design and programming practices, as well as lead operational efforts.
About the teamOur mission is to build best-in-class, fast, accurate, and cost-efficient large language and diffusion model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.
BASIC QUALIFICATIONSBachelor's degree in computer science or equivalent.
Several years of non-internship professional software development experience.
Several years of programming with at least one software programming language experience.
Several years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Knowledge of Machine Learning algorithms and techniques.
Experience as a thesis supervisor, mentor, tech lead or leading an engineering team.
PhD in computer science or equivalent.
Experience with Python, PyTorch, and C++ programming and performance optimization.
Knowledge of LLMs and/or diffusion models.
Experience with LLMs and/or diffusion inference, especially TensorRT-LLM and Trainium development.
Excellent problem-solving skills, with the ability to think creatively and critically about complex problems.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Publications in the domain of Machine Learning, especially LLMs and diffusion models.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Posted: April 1, 2025 (Updated about 2 hours ago)
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