דרושים Senior Applied Scientist ב-אמזון ב-United Kingdom, England, Cambridge

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

* Enjoys working side by side with colleagues and teams on difficult problems.
* Is highly effective and thrives in a dynamic environment with multiple, changing priorities.
* Knows what is important when shipping products to customers and has been through the process from start to finish.
* Is comfortable with proactive outward communication and technical leadership and never shies away from a challenge.Key job responsibilities
- Delivering high-quality C/C++ code for Ring Devices at Amazon,
- Specifying, designing, and implementing functionality and behaviors of embedded subsystems,
- Collaborating effectively
- Proactively communicating and demonstrating technical leadership.

- 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
- Experience in embedded development in C/C++

- 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
As a Senior Software Development Engineer you will:- Design algorithms and write software for our consumer products.
- Work closely with camera & sensor experts, product management, computer vision and machine learning experts.- Guide and develop more junior engineers as well as managing your own deliverables.

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience as a mentor, tech lead or leading an engineering team
- Understanding of building systems and toolchains
- Identifying needs for providing and driving software reviews and optimizations
- Experience dealing with middleware/SW stacks and embedded systems
- Experience with API design
- Experience with continuous integration practices (unit-test, linting, code coverage, etc.)

- 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

- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- 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.

Key job responsibilitiesAs a Senior Head of Process Improvement you will have the opportunity to launch and lead a team of Process Improvement Engineers. You will work closely with key teams shaping the industry of Generative AI such as – but not limited to - AGI-DS Operations, Quality, Customer Program Management, Tech, Finance, Science. You will be responsible for identifying opportunities across the network, leading large-scale changes at network level, partnering with the AGI site leaders and other network stakeholders to drive improvement. This role requires high level of critical thinking, judgement and ownership, the ability to demonstrate ownership for your assigned responsibility, interpret data, and lead through influence to deliver meaningful results translating to tangible productivity and efficiency gains across the AGI-DS World-Wide network.
A day in the life
Key responsibilities include:
• Lead and evaluate performance objectives and metrics across the network (1P and 3P) to proactively identify process improvement opportunities
• Manage and develop a team of process improvement engineers, including hiring, coaching, and career development
• Partner with operational leaders within AGI-DS sites to implement process improvements driving stabilization and standardization
• Serve as primary subject matter expert for the team and network of operational leaders
• Successfully manage, execute, measure and communicate project impact in partnership with site leaders
• Collaborate with cross-functional teams to drive capability development projects
• Mentor, train, and develop process improvement engineers for career progression and performance improvement
• Drive network-wide process standardization and best practice implementation
• Organize weekly and monthly business reviews on performance metrics, project implementation, and improvement initiatives
• Ensure timely execution and compliance with network standards
• Document and share implementation learnings and business reviews through crisp writing in line with the high Amazon standards

• MSc degree in Engineering, Industrial Manufacturing, or related technical field
• 7+ years of experience in process improvement, operations, or technical environments
• 5+ years of people management experience, including hiring and developing technical teams
• Demonstrated experience leading large-scale process improvement initiatives
• Experience managing cross-functional technical projects
• Native-proficiency fluency in verbal and written English
• Strong data analysis and process optimization expertise
• Lean Six Sigma Black belt certification
• Availability to travel between 25% and 50% of the time
• Business acumen, critical thinking, high judgment
• Ability to influence others without authority

• PhD degree in Engineering, Operations, Business Administration, or related field
• Demonstrated experience applying Lean Six Sigma methodologies to technical operations or data processing environments
• Ability to handle changing priorities and use good judgment when dealing with conflicting goals
• Ability to Deep Dive and develop innovative ideas for process challenges
• Understanding of AI/ML operations
• Demonstrated subject matter expertise in AI operations or data services
• Strong quantitative and qualitative analytical skills as well as good business judgment
• Cross-functional project management experience
• Strong verbal and written communication skills
• Experience with process mapping and workflow optimization