Senior Applied Scientist, Alexa

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.

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

A day in the life
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.

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

Cambridge, GBR | London, GBR

Basic Qualifications

– Extensive 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

– Experience in building machine learning models for business application
– PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
– Knowledge of programming languages such as C/C++, Python, Java or Perl
– Experience in applied research
– PhD in Computer Science, Machine Learning, or a related field, with a focus on language models, knowledge representation or conversational assistant systems
– Extensive 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

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