Applied Scientist II, Alexa AI

Amazon; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Amazon's Alexa AI team seeks a talented Applied Scientist to innovate in Generative AI by prototyping and optimizing ML algorithms. You'll work in a dynamic environment, collaborating cross-functionally, and contribute to groundbreaking AI research and development through published academic work. This role requires a strong background in computer science or related fields and a passion for cutting-edge technology.

Qualifications

• 2-7 years experience in deep learning, machine learning, and data science.
• Proficiency in coding and software development focused on ML frameworks.
• Papers published in AI/ML venues of repute.

Responsibilities

• Research and build Proof Of Concepts for AI & ML applications.
• Collaborate with cross-functional teams for AI project execution.
• Conduct thorough documentation and publish research findings.

Skills

Deep learning

Machine learning

Data science

Communication skills

Education

Master’s or PhD in computer science, statistics or a related field

Tools

Python

Java

C++

AWS

Linux

Job description

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 include:

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. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
4. Engage in effective technical communication (written & spoken) with coordination across teams.
5. Conduct thorough documentation of 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 experience in deep learning, machine learning, and data science.
• Proficiency in coding and software development, with a strong focus on machine learning frameworks.
• Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.
• Papers published in AI/ML venues of repute.

Preferred Qualifications:

• Track record of diving into data to discover hidden patterns and conducting error/deviation analysis.
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
• The motivation to achieve results in a fast-paced environment.
• Exceptional level of organization and strong attention to detail.
• Comfortable working in a fast-paced, highly collaborative, dynamic work environment.

Additionally, consider the following qualifications:

• 3+ years of experience building models for business applications.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python, or related languages.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Knowledge of standard speech and machine learning techniques.

Preferred qualifications include experience using Unix/Linux and professional software development.

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