Applied Scientist II, Alexa International Team
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
Key job responsibilities
As an Applied Scientist with the Alexa International team you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistant technology. You will leverage Amazons heterogeneous data sources unique and diverse international customer nuances and large-scale computing resources to accelerate advances in text voice and vision domains in a multimodal setup. The ideal candidate possesses a solid understanding of machine learning natural language understanding modern LLM architectures LLM evaluation & tooling and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to tackle complex challenges excel at swiftly delivering impactful solutions while iterating based on user feedback and collaborate effectively with cross-functional teams.
A day in the life
* Analyze understand and model customer behavior and the customer experience based on large-scale data.
* Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants.
* Fine-tune/post-train LLMs using techniques like SFT DPO RLHF and RLAIF.
* Set up experimentation frameworks for agile model analysis and A/B testing.
* Collaborate with partner teams on LLM evaluation frameworks and post-training methodologies.
* Contribute to end-to-end delivery of solutions from research to production including reusable science components.
* Communicate solutions clearly to partners and stakeholders.
* Contribute to the scientific community through publications and community engagement.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience in professional software development
- PhD in computer science computer engineering or related field
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- 3 years of building machine learning models for business application experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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