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Description

The Amazon Artificial General Intelligence (AGI) team is looking for a passionate, highly skilled and inventive Senior Applied Scientist with strong machine learning background to lead the development and implementation of state-of-the-art ML systems for building large-scale, high-quality conversational assistant systems. As a Senior Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences.

Key job responsibilities

• Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals

• Innovate new methods for contextual knowledge extraction and information representation, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, cpu, latency and quality

• Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing and verification

• Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results

• Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems

• Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports

• Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

We are open to hiring candidates to work out of one of the following locations:

Sunnyvale, CA, USA

Basic Qualifications

• 5+ years of building machine learning models for business application experience

• Experience programming in Python, C++, Java or related language

• Experience with (preferably large) language models

• Demonstrated expertise in NLP, Deep Learning and Information extraction

• Experience with popular deep learning frameworks such as PyTorch

• Excellent written, verbal communication & data presentation skills.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, or a related field, with a focus on language models, knowledge representation or conversational assistant systems

• 5+ years of relevant experience in industry and/or academia

• Demonstrated experience in developing and implementing ML algorithms and models

• Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch

• Experience with large scale distributed systems such as Hadoop, Spark etc.

• 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

• Experience with patents or publications at top-tier peer-reviewed conferences or journals

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.