Job ID: 2683126 | Amazon.com Services LLC
Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. The Ads Self-serve Products for Experience, Experimentation, and Developer productivity (Ads SPEED) team drives a coherent experience across Amazon Ads Console for all endemic and non-endemic advertisers and their agencies using Amazon’s marketing portfolio to grow their business and brands on and off Amazon.
We seek a strong technical leader with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms.
Key Responsibilities:
- Map business requirements and customer needs to a scientific problem.
- Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.
- Research, design and implement scalable machine learning (ML), natural language, or computational models to solve problems that matter to our customers in an iterative fashion.
- Mentor and develop junior applied scientists and developers who work on applied science problems in the same organization.
- Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities.
You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- 2+ years of scripting language experience
Amazon 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.
Posted: August 23, 2024 (Updated about 3 hours ago)
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