Applied Scientist , Gen AI

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

Job summary

An established industry player is seeking an inventive and driven Applied Scientist to join their AWS Multimodal generative AI science team. This exciting role involves leading innovative research projects and developing state-of-the-art algorithms that will impact millions of customers. You will work with a diverse group of top-tier scientists and engineers, leveraging vast computing power to create groundbreaking advancements in Computer Vision and Generative AI. If you are passionate about AI and eager to push the boundaries of technology, this opportunity will allow you to make a significant impact in a collaborative and inclusive environment.

Qualifications

• Strong background in AI and Deep Learning required.
• Experience with deep learning frameworks and cloud computing essential.

Responsibilities

• Lead research initiatives in Multimodal generative AI.
• Design and implement deep learning models in production.

Skills

AI/ML Expertise

Deep Learning

Computer Vision

Generative AI

NLP

Statistical Modeling

Analytical Skills

Coding (Python, C++, Java)

Education

Ph.D. in Computer Science

Master’s in Computer Science

Bachelor’s in related field

Tools

TensorFlow

PyTorch

Cloud Computing Platforms

Job description

Job ID: 2837233 | Amazon Development Center (Tel Aviv)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning? Join Amazon’s AWS Multimodal generative AI science team and be a catalyst for groundbreaking advancements in Computer Vision, Generative AI, and foundational models.

As part of the AWS Multimodal generative AI science team, you’ll lead innovative research projects, develop state-of-the-art algorithms, and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazon’s vast computing power, you’ll work alongside a supportive and diverse group of top-tier scientists and engineers, contributing to products that redefine the industry.

Key job responsibilities

1. Lead research initiatives in Multimodal generative AI, pushing the boundaries of model efficiency, accuracy, and scalability.
2. Design, implement, and evaluate deep learning models in a production environment.
3. Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
4. Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
5. Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

BASIC QUALIFICATIONS

1. Ph.D. or Master’s in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
2. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
3. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
4. Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).
5. First author in research publications in peer-reviewed conferences or journals.

PREFERRED QUALIFICATIONS

1. Experience designing and leading complex research projects from ideation to implementation.
2. Deep understanding of statistical modeling, optimization, and algorithm development.
3. Excellent communication skills, with the ability to convey complex technical information to diverse audiences.

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.