Senior Applied Scientist, Alexa Daily Essentials, Alexa Home Productivity

4 days ago


Vancouver, British Columbia, Canada Amazon Full time
Job Title: Senior Applied Scientist, Alexa Daily Essentials

Alexa Daily Essentials is seeking a highly skilled Senior Applied Scientist to lead groundbreaking innovations on large language models to enhance Alexa's language understanding, knowledge representation, reasoning, and generation capabilities.

About the Role

This is a high-impact role that offers a unique opportunity to shape the future of Alexa AI. As a Senior Applied Scientist, you will bring deep expertise to lead innovation in AI, working with complete autonomy to transform your vision into high-impact results.

Key Responsibilities
  • Lead projects where you and your team rapidly prototype and deliver ML/LLM solutions to Alexa users.
  • Lead and deliver high-impact research projects focused on advancing LLM capabilities in areas like model latency, multimodel systems, personalization, and reasoning.
  • Define and establish LLM best practices and operational excellence for both science and engineering teams across the organization.
  • Work closely with engineering, product, and user experience teams to integrate your science breakthroughs into the Alexa ecosystem.
  • Guide and mentor junior scientists and engineers to foster a culture of inclusion, innovation, technical excellence, and continuous learning.
  • Publish in top-tier conferences and journals to establish our reputation as a leader in AI research.
  • Contribute to the development of the organization's AI strategy, keeping up-to-date on emerging trends and opportunities for differentiation in the AI landscape.
Requirements
  • 6+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python, or related languages
  • Experience with neural deep learning methods and machine learning
  • Experience with conducting research in a corporate setting
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc.
  • Experience in building speech recognition, machine translation, and natural language processing systems (e.g., commercial speech products or government speech projects)
About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

If you would like to request an accommodation, please notify your Recruiter.

Compensation

The base salary for this position ranges from $195,900/year up to $327,200/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company.

Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.



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