Sr. Applied Scientist, Alexa Connections

Amazon; Vancouver; On-site; CAD 271,000 - 454,000; Full time

Job summary

A global e-commerce and technology leader in Metro Vancouver is seeking a Sr. Applied Scientist to drive AI innovation and enhance communication technologies. You will lead the development of advanced algorithms and collaborate with cross-functional teams to integrate new AI systems into core features. The ideal candidate has a PhD or relevant Master's degree, experience in programming languages, and a strong background in machine learning. This role offers a competitive salary and a dynamic work environment.

Benefits

Health insurance

401(k) retirement plan

Stock options

Paid time off

Qualifications

• 3+ 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 language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Develop new inference and training techniques for Large Language Models.
• Develop robust techniques for synthetic data generation.
• Research and build proofs of concept for AI & ML advancements.
• Collaborate with teams to deliver technically rigorous AI projects.
• Mentor junior scientists to enhance their skills.

Skills

Building machine learning models

Java programming

C++ programming

Python programming

Neural deep learning methods

Education

PhD or Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Job description

Description

Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Sr. Applied Scientist, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+.

As a Sr. Applied Scientist, you'll drive the development of novel algorithms and modeling techniques to advance the state of the art with LLMs and real-time Agentic AI solutions that power our next-generation communication features. You'll work closely with cross-functional teams, including product management, engineering, design, and data, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration of these advanced AI systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience.

Key job responsibilities

• Develop new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation

• Develop robust techniques for synthetic data generation for training large models and maintaining model generalization

• Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.

• Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.

• Thrive in dynamic environment, adapting quickly to evolving technical requirements and deadlines.

• Engage in effective technical communication (written & spoken) with coordination across teams.

• Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.

• Publish research papers in internal and external venues of repute

• Support on-call activities for critical issues

• Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done

About the team

Alexa Connections aspires to make Alexa+ the world’s most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory.

Basic Qualifications

• 3+ 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 language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Applicants should apply via our internal or external career site.