Senior Applied Scientist Artificial General Intelligence jobs at Amazon in United Kingdom, Cambridge

Key job responsibilities- Design data collection and annotation projects to curate novel, high-quality datasets for training and evaluations
- Curate high quality publicly available datasets and develop synthetic annotation/generation methods to scale datasetsA day in the life
As a Data Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences, design new datasets and data collection projects, curate massive datasets for quality and diversity, and discover ways to enhance our model capabilities and enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production.

- Experience diving into data to discover hidden patterns and of conducting error/deviation analysis
- Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Experience implementing algorithms using both toolkits and self-developed code
- Experience working with large language models and/or vision-language models

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

You will obsess over a devices battery life, boot time, system latency or any of a number of performance KPI. You will add significant new features and integrate with new hardware and software services.Key job responsibilities
You will be responsible for managing your personal backlog, prioritizing issues and diving deep into technical issues.Is comfortable with proactive outward communication and technical leadership and never shies away from a challengeAbout the team
You will join the team that works on Ring devices, including video doorbells, and security cameras. We develop the device firmware which supports popular features such as Live View, colour night mode or motion detection. Our goal is to ensure a secure, reliable product development integrating with the Ring product range, to help Ring on its mission to keep people closer to the moments that matter.Key job responsibilitiesExperience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
Experience in professional, non-internship software development
Experience in development in the last 3 years
Preferred qualifications
Bachelor's degree in computer science or equivalent
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

- Experience as a mentor, tech lead or leading an engineering team
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in professional, non-internship software development
- Experience in development in the last 3 years

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Key job responsibilities
- Mentor less experienced Applied Scientists
- Engage in state-of-the-art and innovative research in areas such as Gen AI, model compression, and knowledge distillation
- Contribute to a novel and comprehensive training platform custom-tailored for preparing models for edge applications
- Invent optimization techniques to push the boundaries of deep learning model training
- Derive research approaches from first principles via knowledge of Information Theory, Statistics, Scientific Computing, and Deep Learning Theory
- Create and propose detailed theoretical specifications for novel research ideas and directions, and rigorously justify their correctness
- Train custom Gen AI models that beat the SOTA and paves path for developing production models

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in building machine learning models for business application
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative AI models to drive the state of the art in audio (and vocal arts) generation.Position Responsibilities:* Participate in the design, development, evaluation, deployment and updating of data-driven models for digital vocal arts applications.
* Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications.
* Research and implement novel ML and statistical approaches to add value to the business.
* Mentor junior engineers and scientists.

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with programming languages such as Python, Java, C++

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

Key job responsibilities- Invent and validate reliability for novel automated evaluation methods for perception tasks, such as fine-tuned LLM-as-judge
- Develop and extend our evaluation framework(s) to support expanding capabilities for multimodal language modelsA day in the life
As a Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences and discover ways to enhance our model capabilities and enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production.

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in building machine learning models for business application

- Experience using Unix/Linux
- Experience in professional software development
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data center and to support AWS.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
- Act as the primary escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
- Perform root cause analysis of equipment failures, and troubleshooting of facility within internal Service Level Agreements (SLA).
- May assist in the build out of new facilities and assist in projects to increase current facility efficiency
- Working outside of normal business hours for routine maintenance as required, including responding to out-of-hours emergency calls.
- Communicate complex technical information to a non-technical audience.
- Establish building performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance.
- Utilize Microsoft Excel, Word, Outlook and other basic administrative tools to perform day to day tasksPhysical Requirements:- Regularly lift and/or move up to 39 pounds independently
- Participate in group lifts for 40+ pounds
- Maintain balance and perform construction tasks while on a ladder
- Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
- Work in an environment requiring provided ear protection
A day in the lifeDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Technical (Military/Trade School) training or degree in a relevant field (for example: electrical, mechanical).
- 3+ years of electrical or mechanical experience.
- 3+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience.

- 4+ years of Data Center Engineering Experience.
- Associates or Bachelor’s Degree.
- Experience leading a team.