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Principal Applied Scientist, AGI Personalization
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Principal Applied Scientist, AGI Personalization
2 months ago
We are seeking a highly skilled and experienced Senior Research Scientist to join our team at Evi Technologies Limited. As a Principal Applied Scientist, you will play a key role in advancing the field of Artificial General Intelligence (AGI) and developing innovative solutions for personalization and conversational AI.
Key Responsibilities- Design and develop complex, real-time systems involving AI, ML, and NLP to deliver personalized experiences to customers.
- Lead strategic efforts in personalization and conversational AI, collaborating with cross-functional teams to drive business growth and customer satisfaction.
- Develop and maintain deep subject matter expertise in large language models and generative AI, staying up-to-date with the latest research and advancements in the field.
- Provide thought leadership and technical guidance to teams, influencing the organization's adoption of new approaches, concepts, and paradigms.
- Collaborate with product, science, and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of conversational assistants.
- Work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables, resolving issues and designing solutions across different organizations.
The AGI Personalization team at Evi Technologies Limited uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple products, including conversational AI systems, to enhance the user experience by bringing more personal value and relevance to customers' interactions.
Requirements- Graduate degree in Computer Science, Mathematics, or a related field.
- Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
- Computer Science fundamentals in data structures, algorithm design, and complexity analysis.
- Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms.
- Exceptional customer relationship skills, including the ability to discover true requirements, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines.
- Demonstrated track record of peer-reviewed scientific publications advancing state-of-the-art for applied science.
- 10+ years of relevant, broad research experience after PhD degree or equivalent.
- Deep and broad expertise across several computer science areas, particularly in Machine Learning and large-scale generative models with a focus on conversational AI systems and/or personalization & recommender systems.
- Experience with structured and/or unstructured knowledge sources.
- Strong core competency in mathematics and statistics.
- Track record of solving complex technical problems.
- Recognized thought leader in your area(s).
- Publications at top-tier peer-reviewed conferences or journals.
- Strong prior experience with mentorship and/or management of senior scientists and engineers.
- Thinks strategically, but stays on top of tactical execution.
- Exhibits excellent business judgment, balancing business, product, and technology very well.
- Effective verbal and written communication skills with non-technical and technical audiences.
- Experience working with real-world data sets and building scalable models from large-scale data.
