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- Tasks: Lead research on LLMs and innovate NLP techniques for Alexa.
- Company: Join Evi Technologies, a leader in conversational AI technology.
- Benefits: Enjoy flexible work options and a culture that values diversity.
- Why this job: Be at the forefront of AI, shaping the future of customer interactions.
- Qualifications: PhD in AI or related field with 10+ years of experience required.
- Other info: Opportunity to mentor and lead within a dynamic team.
The predicted salary is between 72000 - 108000 £ per year.
Description You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
About The Team The Alexa Conversational Modelling Intelligence team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love.Our mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers.
Basic Qualifications PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences.Functional thought leader, sought after for key tech decisions.Can successfully sell ideas to an executive level decision maker.Mentors and trains the research scientist community on complex technical issues.Experience developing software in traditional programming languages (Python, Java, etc..).Excellent written and spoken communication skills.
Preferred Qualifications 10+ years of experience building and deploying innovative NLP solutions at scale.Expert level skills focusing on Large-language-Models.Demonstrated Experience in training LLMs through PT, SFT, and LHF backed by top-tier publications.Published research work in academic conferences or industry circles in NLP top tier conferences.Experience delivering complex end-to-end global NLP solutions that run at very large scale.Experience working with real-world data sets and building scalable models from big data.Thinks strategically, but stays on top of tactical execution.Exhibits excellent business judgment; balances business, product, and technology very well.This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Company – Evi Technologies LimitedJob ID: A2825319
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Principal Applied Scientist, Alexa Conversational Modelling Intelligence employer: webAI
Contact Detail:
webAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Applied Scientist, Alexa Conversational Modelling Intelligence
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models (LLMs) and natural language processing (NLP). Being well-versed in current research and trends will not only help you during interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the NLP and AI community. Attend conferences, webinars, or local meetups to connect with others in the field. This can lead to valuable insights and potentially even referrals for the position at StudySmarter.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving LLMs and scalable solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Demonstrate your leadership and mentorship experience. Since the role involves guiding other researchers, be prepared to share examples of how you've successfully led teams or mentored colleagues in the past, highlighting your ability to inspire and develop talent.
We think you need these skills to ace Principal Applied Scientist, Alexa Conversational Modelling Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in artificial intelligence, natural language processing, and machine learning. Emphasise your publication record and any leadership roles you've held, as these are crucial for the Principal Applied Scientist position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for LLMs and conversational technologies. Discuss how your background aligns with the job requirements and mention specific projects or research that demonstrate your expertise and innovative thinking.
Showcase Your Research Experience: Detail your research experience, particularly in training LLMs and developing NLP solutions. Include metrics or outcomes from your work to illustrate your impact and effectiveness in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to NLP and LLMs during the interview process. Be ready to discuss your methodologies, decision-making processes, and how you approach problem-solving in complex projects.
How to prepare for a job interview at webAI
✨Showcase Your Research Experience
Be prepared to discuss your past research projects in detail, especially those related to LLMs and NLP techniques. Highlight your publication record and any innovative solutions you've developed, as this will demonstrate your expertise and thought leadership in the field.
✨Demonstrate Technical Fearlessness
During the interview, convey your willingness to tackle complex problems and adopt new technologies. Share examples of how you've successfully implemented scalable science and engineering solutions, showcasing your ability to think outside the box.
✨Communicate Effectively
Since excellent communication skills are crucial for this role, practice articulating your ideas clearly and concisely. Be ready to explain complex concepts in a way that is accessible to both technical and non-technical stakeholders.
✨Prepare for Strategic Discussions
Expect questions about your long-term vision for LLMs and how you would persuade teams to adopt your strategies. Think about how you can balance business needs with technical execution, and be ready to discuss your approach to mentoring and developing talent within the team.
