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Conversational AI Researcher
2 months ago
Job Overview:
| Services LLC
The Amazon Artificial General Intelligence (AGI) Personalization team is in search of a dedicated and innovative Machine Learning Scientist with a robust background in machine learning to develop cutting-edge ML systems aimed at personalizing large-scale, high-quality conversational assistant technologies.
In this role, you will be instrumental in advancing personalization methodologies that empower conversational systems, particularly those leveraging large language models, information retrieval, recommender systems, and knowledge graphs, to meet diverse customer requirements.
You will engage with Amazon-scale scenarios that significantly enhance our customers' experiences.
Key Responsibilities:
Utilize deep learning, machine learning, and natural language processing techniques to devise scalable solutions for the creation and enhancement of language model-centric systems designed for personalized assistant applications, drawing from a comprehensive array of structured and unstructured contextual signals.
Innovate novel approaches for contextual knowledge extraction and information retrieval, employing language models alongside other learning methodologies, to ensure effective grounding in context providers while considering memory, computational efficiency, latency, and quality.
Conduct research into advanced customer insights and behavior modeling techniques.Collaborate with interdisciplinary teams of scientists, engineers, and product managers to identify and address complex challenges in personal knowledge aggregation, processing, modeling, and validation.
Design and implement experiments to assess the performance of state-of-the-art algorithms and models, iterating swiftly to enhance outcomes.Envision the future of conversational assistant system personalization over an extended timeline, identifying new avenues to apply these technologies to tackle real-world challenges.
Effectively communicate findings and insights to both technical and non-technical stakeholders, including through presentations and written documentation.
About the Team:
The AGI Personalization organization leverages various contextual signals to tailor Large Language Model outputs for our customers while ensuring the privacy and security of customer data.
We collaborate across multiple Amazon products, including Alexa, to enrich user experiences by infusing more personal context and relevance into customer interactions.
Basic Qualifications: PhD or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.2+ years of experience in developing models for business applications.
Experience with patents or publications in top-tier peer-reviewed conferences or journals.
Proficiency in programming languages such as Java, C++, Python, or similar.
Experience in areas including algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
Preferred Qualifications: Familiarity with popular deep learning frameworks such as MxNet and TensorFlow.Experience with large-scale machine learning systems, including profiling, debugging, and understanding system performance and scalability.
Proficient in at least two of the following domains: large language models, information retrieval, recommender systems, knowledge graphs, and graph neural networks.
Amazon is committed to fostering a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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