- 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 crossfunctional 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 multiyear horizon, and identify new opportunities to apply these technologies to solve realworld problems
- Communicate results and insights to both technical and nontechnical 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
- 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.
- 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 problemsolving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with crossfunctional teams
- Experience with patents or publications at toptier peerreviewed conferences or journals
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Research Scientist, Alexa
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Evi Technologies Limited Cambridge, United Kingdom Full timeThe 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, hig ...
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Senior Applied Scientist, Alexa
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Evi Technologies Limited Cambridge, United Kingdom Full timeThe 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, hig ...
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Evi Technologies Limited Cambridge, United Kingdom Full timeThe Artificial General Intelligence team (AGI) has an exciting position for an Applied Scientist with a strong background NLP and Large Language Models to help us develop state-of-the-art conversational systems. · As part of this team, you will collaborate with talented scientis ...
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Senior Applied Scientist, AGI
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Evi Technologies Limited Cambridge, United Kingdom Full timeThe Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. · As part of t ...
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Applied Scientist
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Evi Technologies Limited Cambridge, United Kingdom Full timeOur team builds generative AI solutions that will produce some of the future's most influential voices in media and art. We develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video, with Amazon Game Studios and Alexa, the ground-brea ...
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Senior Applied Scientist
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Evi Technologies Limited Cambridge, United Kingdom Full timeOur team undertakes research together with multiple organizations to advance the state-of-the-art in speech technologies. We not only work on giving Alexa, the ground-breaking service that powers Echo, her voice, but we also develop cutting-edge technologies with Amazon Studios, ...
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Evi Technologies Limited Cambridge, United Kingdom Full timeAs a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversat ...
Senior Applied Scientist, Alexa - Cambridge, United Kingdom - Evi Technologies Limited
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.
Key job responsibilitiesAs 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