Applied Science Internship - Automated Reasoning jobs at Amazon in United States, Seattle

Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders

- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application experience
- 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: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.

• Experience using Unix/Linux
• Experience in professional software development

Key job responsibilities- Attainment of organizational performance goals and objectives relating to safety, security, availability, scaling, efficiency and cost
- Vendor management of Colo datacenter services providers to meet or exceed contracted performance SLA’s
- Safety, security, and availability incident response, incident management and incident resolution
- Continuous improvement of operational processes, procedures, methods and tools

Bachelor's or Master’s degree in engineering, computer science or a related field, or relevant industry experience
- 10+ years of relevant management experience in data center operations, facility engineering operations, information technology critical environment facilities, advanced high-volume manufacturing or similar.
- Demonstrated track record in delivering complex projects
- Proven ability to hire, develop and manage high-performing technical teams
- Prior ownership of the operation of a mission-critical team and/or product
- Ability to operate independently as a manager of a geographically distributed management team
- Excellent written and verbal communications skills
- Excellent analytical, quantitative, and presentation skills
- Fluency in Spanish and English

- Expertise in one or more continuous improvement methodologies such as Lean or Six Sigma
- Substantial knowledge of mechanical, electrical, and controls systems in a critical or controlled environment.
- Broad knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices.

Key job responsibilities
* Partner with laboratory science teams on design and analysis of experiments
* Originate and lead the development of new data collection workflows with cross-functional partners
* Develop and deploy scalable bioinformatics analysis and QC workflows
* Evaluate and incorporate novel bioinformatic approaches to solve critical business problems

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 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 using Unix/Linux
- Experience in professional software development

About Sponsored Products and BrandsKey job responsibilities
As an Applied Science Manager, you will:* Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
* Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications.
* Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
* Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language

- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.

- 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 responsibilities
As a QAE on Device Content & Advertisement team, you will champion the quality of our features in our development pipeline using both automated and manual tests, status reporting, verifying defects, and signing-off on features and release candidates. You will own authoring and the execution of test plans and test cases. You will have a significant impact in the quality and delivery speed of our software, our business, and most importantly our customers. You will work closely with developers, product managers, and other QA in order to ensure the features we deliver to our customers have a high level of quality. In addition, you will also have the opportunity to propose improvements to our existing processes and automated tools in order to improve the team’s speed, quality and efficiency.A day in the life
Your day would be filled with working on test strategies, test plans & test cases. Part of the day would be engaged in several discussions working with PMs, TPMs & developers in making requirements clear, bug triages & reproducing issues seen by others.
You will also be working with QA team in US. As these QA engineers help you run different projects, you would be working with them on a frequent basis to get status from them, providing knowledge sessions & tracking their progress.

- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)

- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control

Key job responsibilities
You are encouraged to think big, invent and take ownership on customer challenges. You will not only bring the best of AWS/ Amazon to our customers, you will proactively help solve the customer’s challenges through new ideas, tools and mechanisms.
Diverse ExperiencesAWS 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.Mentorship & Career GrowthWe’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.Work/Life Balance

- 7+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- Bachelor's degree in Computer Science, Engineering, Math, Operations Research, or a related field
- Knowledge of distributed applications and the engineering lifecycle from conception to delivery
- Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
- Experience in large-scale IT deployment or programming