Applied Scientist II, Alexa AI

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as an Applied Scientist specializing in Generative AI. This role involves prototyping and deploying cutting-edge ML algorithms, collaborating with cross-functional teams, and pushing the boundaries of AI technology. You will engage in research, document findings, and contribute to publications, all while working in a dynamic and inclusive environment. If you are passionate about advancing AI and thrive in fast-paced settings, this opportunity is perfect for you.

Qualifications

• 2-7 years of experience in deep learning and machine learning.
• Proficiency in coding with a focus on machine learning frameworks.

Responsibilities

• Research and build Proof Of Concepts in AI & ML for Generative AI.
• Collaborate with teams to execute AI projects.

Skills

Deep Learning

Machine Learning

Data Science

Python

Software Development

Statistical Analysis

Technical Communication

Education

Master’s or PhD in Computer Science

Tools

AWS

Linux

Java

C++

Job description

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.