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- Tasks: Lead research on LLMs, develop strategies, and mentor teams in NLP technologies.
- Company: Join Evi Technologies, a part of Amazon, innovating conversational AI for Alexa.
- Benefits: Enjoy a diverse workplace, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, impacting customer experiences globally.
- Qualifications: PhD in AI/NLP with 10+ years of research experience and strong publication record required.
- Other info: Amazon values diversity and offers accommodations for applicants with disabilities.
The predicted salary is between 57600 - 84000 £ per year.
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 have 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 science
- 10+ 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.
- 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.
Principal Applied Scientist, Alexa Conversational Modelling Intelligence employer: Job Traffic
Contact Detail:
Job Traffic 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 AI and NLP community. Attend conferences, webinars, or workshops where you can meet industry leaders and potential colleagues. Building these connections can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving LLMs and NLP solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Demonstrate your leadership abilities by sharing examples of how you've mentored others or led teams in previous roles. Highlighting your experience in guiding research scientists and making strategic decisions will align well with the expectations for this Principal Applied Scientist role.
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 specific projects where you've successfully implemented NLP solutions and how they align with the goals of the Alexa Conversational Modelling Intelligence team.
Showcase Your Research Experience: Detail your research experience, particularly in training large language models and publishing in top-tier conferences. Highlight any innovative techniques you've developed or adopted that could benefit the role.
Prepare for Technical Questions: Be ready to discuss your technical expertise in programming languages like Python and Java. Prepare examples of complex NLP solutions you've delivered and be prepared to explain your thought process and decision-making in those projects.
How to prepare for a job interview at Job Traffic
✨Showcase Your Research Experience
Be prepared to discuss your past research projects in detail, especially those related to LLMs and NLP. Highlight your publication record and any innovative techniques you've developed or adopted.
✨Demonstrate Leadership Skills
Since the role involves mentoring and leading teams, share examples of how you've successfully guided others in complex technical issues. Discuss your experience in organisational planning and how you've influenced decision-making at an executive level.
✨Prepare for Technical Questions
Expect in-depth technical questions about machine learning, NLP, and software development. Brush up on your knowledge of programming languages like Python and Java, and be ready to explain your approach to building scalable models.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this role. Practice articulating your ideas clearly, both in writing and verbally. Be ready to explain complex concepts in a way that is accessible to non-technical stakeholders.
