Senior Applied Scientist, AGI - Intelligent Decisions

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

Job summary

An established industry player is seeking a Senior Applied Scientist to join their Artificial General Intelligence team. This role involves collaborating with talented scientists and engineers to develop cutting-edge conversational systems that enhance user experiences for millions. You will leverage your expertise in machine learning and deep learning to create innovative solutions and analyze customer behaviors. The position offers a unique opportunity to make a significant impact in the field of conversational AI, while also mentoring junior team members and contributing to a diverse and inclusive workplace. If you're passionate about technology and innovation, this could be the perfect role for you.

Qualifications

• PhD in a quantitative field with expertise in machine learning and deep learning.
• Experience in building business applications and applied research.

Responsibilities

• Lead the development of innovative solutions to complex problems.
• Analyze customer behaviors and define metrics for improvement.
• Mentor junior scientists and contribute to team growth.

Skills

Machine Learning

Large Language Models

Neural Deep Learning Methods

Programming in Java

Programming in C++

Programming in Python

Applied Research

Customer Behaviour Analysis

Education

PhD in Engineering or Related Field

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Hadoop

Spark

Job description

Job ID: Evi Technologies Limited

The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems.
As part of this team, you will collaborate with talented scientists and software engineers to enable conversational assistants capabilities to support the use of external tools and sources of information, and develop novel reasoning capabilities to revolutionise the user experience for millions of Alexa customers.

Key Job Responsibilities

As a Senior Applied Scientist, you will lead the development of innovative solutions to large and complex problems. You will use your technical expertise to develop and deploy novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences, including through presentations and written reports and external publications.
You will mentor and guide junior scientists and contribute to the overall growth and development of the team.

BASIC QUALIFICATIONS

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience with neural deep learning methods and machine learning
• Experience in building machine learning models for business applications
• Experience in applied research
• Experience programming in Java, C++, Python or related language
• Experience in patents or publications at top-tier peer-reviewed conferences or journals

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 opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Amazon is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.