Applied Scientist II

London

Amazon
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Job Description: Applied Scientist - Generative AI at Amazon Alexa

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.

Key Responsibilities:
  1. Research, experiment, and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
  2. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
  3. Adapt quickly to evolving technical requirements and deadlines in dynamic environments.
  4. Engage in effective technical communication (written & spoken) with coordination across teams.
  5. Document algorithms, methodologies, and findings for transparency and reproducibility.
  6. Publish research papers in internal and external venues of repute.
  7. Support on-call activities for critical issues.
Basic Qualifications:
  • Master's or PhD in computer science, statistics, or a related field.
  • 2-7 years of experience in deep learning, machine learning, and data science.
  • Proficiency in coding and software development, with a focus on machine learning frameworks.
  • Experience in Python or other languages; command line usage; familiarity with Linux and AWS ecosystems.
  • Understanding of statistical measures such as confidence intervals, error significance, and data set development and evaluation.
  • Excellent written and spoken communication skills; ability to collaborate effectively in a distributed, cross-functional team.
  • Research publications in AI/ML venues of repute.
Preferred Qualifications:
  • Experience analyzing data to discover patterns and conduct error/deviation analysis.
  • Ability to develop experimental and analytic plans for data modeling, use strong baselines, and determine cause-and-effect relations.
  • Motivation to achieve results in a fast-paced environment.
  • Strong organizational skills and attention to detail.
  • Comfort working in a dynamic, collaborative environment.
Additional Qualifications:
  • 3+ years of experience building models for business applications.
  • Experience with patents or publications at top-tier conferences or journals.
  • Programming experience in Java, C , Python, or related languages.
  • Knowledge of algorithms, data structures, parsing, optimization, data mining, parallel/distributed/high-performance computing.
  • Familiarity with speech and machine learning techniques.
Additional Information:

We promote an inclusive culture. If you need workplace accommodations during the application or onboarding process, please visit this link . Amazon is an equal opportunity employer, committed to diversity and inclusion.

Date Posted: 10 May 2025
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