At a Glance
- Tasks: Lead groundbreaking research in AGI and develop innovative machine learning solutions.
- Company: Join Amazon's AGI organization, a leader in artificial intelligence and technology innovation.
- Benefits: Enjoy a diverse and inclusive workplace with opportunities for mentorship and career growth.
- Why this job: Make a significant impact on customer experiences through cutting-edge Generative AI technologies.
- Qualifications: PhD in AI or related field with 10+ years of research experience and strong publication record.
- Other info: Be part of a team pushing the boundaries of multimodal LLMs and Gen AI.
The predicted salary is between 72000 - 108000 £ per year.
Principal Applied Scientist, AGI Sensory Understanding
As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions.
You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.
You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.
You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.
You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers’ experiences.
Key Job Responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning 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 AGI Understanding team has a mission to push the envelope with multimodal LLMs and Gen AI in Speech/Audio Understanding, in order to provide the best-possible 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. 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 (C++, Java, etc.). Excellent written and spoken communication skills.
PREFERRED QUALIFICATIONS
Prior experience in speech recognition, LLM training and inference, and exposure to Edge model development.
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 this link for more information.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Principal Applied Scientist, AGI Sensory Understanding employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Applied Scientist, AGI Sensory Understanding
✨Tip Number 1
Make sure to showcase your leadership skills in scientific projects. Highlight any experience where you've led teams or initiatives, especially in the context of AGI or machine learning. This will demonstrate your ability to align teams and drive research directions.
✨Tip Number 2
Emphasize your publication record in top-tier journals and conferences. Being a thought leader in your field is crucial for this role, so be prepared to discuss your most impactful research and how it has influenced the industry.
✨Tip Number 3
Prepare to discuss your experience with multimodal LLMs and Generative AI technologies. Familiarize yourself with the latest trends and advancements in these areas, as they are central to the team's mission.
✨Tip Number 4
Be ready to demonstrate your technical skills in programming languages like C++ or Java. Providing examples of past projects where you developed scalable solutions will help illustrate your hands-on expertise.
We think you need these skills to ace Principal Applied Scientist, AGI Sensory Understanding
Some tips for your application 🫡
Highlight Your Expertise: Make sure to emphasize your PhD specialization and relevant experience in artificial intelligence, natural language processing, and machine learning. Showcase your strong publication record and any leadership roles you've held in research.
Demonstrate Technical Leadership: Illustrate your ability to make key technical decisions and how you've successfully influenced executive-level stakeholders. Provide examples of how you've mentored other scientists and contributed to their career growth.
Showcase Problem-Solving Skills: Detail your experience in tackling complex problems and how you decompose them into manageable solutions. Highlight specific projects where you adopted or invented new machine learning techniques.
Communicate Clearly: Since excellent written and spoken communication skills are crucial for this role, ensure that your application is well-structured and free of jargon. Use clear language to convey your ideas and experiences effectively.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Leadership
As a Principal Applied Scientist, you need to demonstrate your ability to lead technical discussions and decisions. Prepare examples of how you've influenced scientific direction in previous roles and be ready to discuss your approach to mentoring and developing other scientists.
✨Highlight Your Research Impact
Be prepared to discuss your publication record and how your research has contributed to the field. Focus on specific projects where your work led to significant advancements or changes in technology, especially in areas related to AGI and machine learning.
✨Demonstrate Problem-Solving Skills
Expect to tackle complex problems during the interview. Practice breaking down intricate issues into manageable parts and explaining your thought process clearly. This will showcase your ability to decompose challenges and find effective solutions.
✨Align with Company Values
Familiarize yourself with Amazon's commitment to diversity and inclusion. Be ready to discuss how you can contribute to an inclusive culture and how your past experiences align with these values, particularly in mentoring and team collaboration.