Manager, Applied Science, Conversational Assistant Services, Conversation Assistant Services - [...]

Amazon; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is seeking an Applied Science Manager to lead a talented team focused on enhancing AI-powered conversational assistants. This role involves managing high-visibility programs that harness the power of large language models and machine learning. You will collaborate with cross-functional teams to innovate and drive impactful research initiatives, mentor team members, and communicate findings to leadership. Join a forward-thinking organization committed to diversity and inclusion, where your contributions will shape the future of AI technology. If you're passionate about AI and eager to make a difference, this opportunity is for you.

Qualifications

• 5+ years of experience in managing scientists or machine learning engineers.
• Proven track record in building scalable systems with predictive models.

Responsibilities

• Lead a team of scientists to develop AI-powered conversational assistants.
• Collaborate with teams to align LLMs with human preferences.

Skills

Natural Language Processing

Machine Learning

Deep Learning

Information Retrieval

Excellent Communication Skills

Interpersonal Skills

Education

Master's degree in engineering or related field

PhD in a relevant field

Tools

Deep Learning Frameworks

Large-scale Data Processing Systems

Job description

The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied and Research Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders.

We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants.

Key job responsibilities

1. Lead and manage a team of Applied and Research/Data scientists responsible for building conversational assistants.
2. Collaborate with cross-functional teams to build methods to align Amazon’s LLMs with human preferences.
3. Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.
4. Mentor and guide team members to achieve their career goals and objectives.
5. Communicate research findings and progress to senior leadership and stakeholders.
6. Rapidly experiment and drive productisation to deliver customer impact.
7. Drive academic partnership with top tier Indian university as part of the org’s AI/ML Center initiative.
8. Participate in and drive science publications in peer-reviewed venues of repute.

BASIC QUALIFICATIONS

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
- Familiarity with large-scale data processing and storage systems.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced, collaborative environment

PREFERRED QUALIFICATIONS

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PHD and Experience with building applications using Large language models
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks
- Experience with learning multimodal LLMs and Gen AI

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.