Principal Applied Scientist, AGI Foundations
Job in
Milan, Lombardy, Italy
Listed on 2025-12-30
Listing for:
Vendita al dettaglio e all'ingrosso / Import-export
Full Time
position Listed on 2025-12-30
Job specializations:
-
Software Development
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
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 how 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 the 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, the 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, documentation, delivery, and maintenance).
Basic Qualifications
5+ years of hands‑on work in predictive modeling and analysis experience
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
Experience working in predictive modeling and analysis
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
Experience programming in Java, C++, Python or related language
Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
Preferred Qualifications
10+ years of relevant work in industry or academia experience
Knowledge of problem solving, algorithm design and complexity analysis
Experience creating novel algorithms and advancing the state of the art
Have peer‑reviewed scientific contributions in premier journals and conferences
Equal Opportunity Employment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County Applicants
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively…
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