Description

Shape the Future of AI Assistants! Do you dream of building AI that revolutionizes how we interact with technology? The Alexa Personality and EQ team is focused on advancing Alexa's emotional intelligence and social interaction capabilities.

As a Senior Applied Scientist, you will be at the forefront of AI innovation, shaping an assistant that fosters natural and productive interactions. You will have the opportunity to collaborate with brilliant minds in the fields of AI, ML, and LLM. Leveraging Amazon's vast and diverse data sources, as well as its large-scale computing resources, you will accelerate advancements in LLMs and multimodal systems. Moreover, you will derive immense satisfaction from working on a product that resonates with your friends and family, one that they can relate to and eagerly anticipate using daily.

Join us and leave your mark on the future of AI!

Key job responsibilities

• Design scientific solutions for reasoning and alignment, conduct experiments, research new algorithms, and explore innovative ways to optimize the customer experience.

• Develop cutting-edge inference and training techniques to enhance the performance of LLMs for AI agent’s unique social AI tasks and applications.

• Design and implement robust techniques for generating synthetic data to train large models effectively, while ensuring model generalization and robustness.

• Mentor and guide junior team members, helping them develop their skills, knowledge, and ability to deliver high-quality work efficiently.

Basic Qualifications

• 4+ years of building machine learning models for business application experience

• PhD, or Master's degree and 3+ 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 large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

• Experience with patents or publications at top-tier peer-reviewed conferences or journals

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.