Applied Scientist Ii Ring Ai jobs at Amazon in United Kingdom, England, Cambridge

Key job responsibilities
- Evaluate 3rd party IP blocks
- Estimate power, performance, and area for significant IPs early in design cycle
- Execute on design specifications to deliver high quality RTL
- Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA

- Bachelor's degree in Electrical Engineering, Communications Engineering or related field, or equivalent experience
- Experience in digital design
- Experience with products that have gone to volume production
- Hands on experience in low power design techniques
- Strong written and verbal skills
- Experience writing and reviewing design specifications

- Master's or Ph.D degree in Electrical / Communications Engineering
- Extensive experience in digital design
- Experience with physical implementation flows

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

You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.Key job responsibilities
Build services/integration for Financial Applications using Native AWS services, machine learning and generative AI.

- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 5+ years of full stack development experience

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

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

Innovators will be delighted with our integrated verification/validation environment that is used to perform architectural modeling to post-silicon validation. The team works backwards from customer requirements to build super-low power, energy efficient designs that include the latest in AI, video processing, low power communications and CMOS fabrication technology.Key job responsibilities
- Define architecture specifications based on requirements from product teams
- Create microarchitecture specifications suitable for being implemented by junior engineers
- Evaluate 3rd party IP blocks
- Estimate power, performance, and area for significant IPs early in design cycle
- Execute on design specifications to deliver high quality RTL
- Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA

- Bachelor's degree in Electrical Engineering, Communications Engineering or related field, or equivalent experience
- Experience with products that have gone to volume production
- Hands on experience in low power design techniques
- Strong written and verbal skills

- Master's or Ph.D degree in Electrical / Communications Engineering
- Exposure to Formal verification
- Experience with physical implementation flows

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

Key job responsibilities
- Define architecture specifications based on requirements from product teams
- Create microarchitecture specifications suitable for being implemented by junior engineers
- Evaluate 3rd party IP blocks
- Estimate power, performance, and area for significant IPs early in design cycle
- Execute on design specifications to deliver high quality RTL
- Ensure quality by running and tracking results of front-end tools including: Synthesis, Lint (RTL, DFT, UPF), Power Analysis and STA

- Bachelor's degree in Electrical Engineering, Communications Engineering or related field, or equivalent experience
- Extensive experience in digital design
- Experience with products that have gone to volume production
- Hands on experience in low power design techniques
- Strong written and verbal skills

- Master's or Ph.D degree in Electrical / Communications Engineering
- Extensive experience in digital design
- Exposure to Formal verification
- Experience with physical implementation flows