דרושים Fall Data Science Internship - United States Phd Masters Student ב-אמזון ב-United States, Seattle

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

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

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.Key job responsibilities
Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions.Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions.Partner cross functionally to develop and maintain measurement frameworks to evaluate initiative and program effectiveness.Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions.Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders.Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results.Roll up sleeves and build sophisticated data models and data analysis as needed.
AWS 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

- 5+ years of developing, negotiating and executing business agreements experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with sales enablement platforms

- Experience interpreting data and making business recommendations
- MBAPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

Key job responsibilities
In this role, you will:
- Analyze complex healthcare data to identify patterns, trends, and insights
- Develop and validate statistical methodologies
- Create and maintain analytical frameworks
- Provide recommendations on data collection strategies- Design and implement statistical analyses to validate analytical approaches
- Present findings to stakeholders and contribute to scientific publications- Design and implement causal inference analyses to understand underlying mechanisms
- Develop frameworks for identifying and validating causal relationships in complex systems
- Work with stakeholders to translate causal insights into actionable recommendationsA day in the life
You'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights. You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services.

- MS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field
- 5+ years of experience applying statistical methods to healthcare data
- Proficiency in Python, R, or similar programming languages for data analysis
- Experience with statistical modeling and analysis of longitudinal data
- Strong background in experimental design and hypothesis testing
- Demonstrated expertise in handling large, complex datasets

- PhD in Statistics, Biostatistics, Data Science, or related quantitative field
- Experience analyzing healthcare data
- Knowledge of healthcare industry regulations and processes
- Familiarity with healthcare data standards
- Publication record in relevant scientific journals
- Experience with distributed computing platforms
- Strong communication skills and ability to present technical concepts to non-technical audiences
- Familiarity with healthcare data standards
- Experience applying causal inference frameworks to real-world problems
- Familiarity with modern causal discovery and inference techniques
- Knowledge of counterfactual analysis methods

As a Lifecycle BIM Specialist, you will produce and maintain Lifecycle sets for MEP drawing sets for our fleet of Data Centers. You will provide support to the Fleet Remediation Engineering team through preparation of computer generated MEP Lifecycle drawing sets ensuring that all as-built drawings are accurately updated. Your experience in Revit and ACAD will be utilized to update and create new BIM models from as-built documentation.Your experience in Architectural, Structural, & Civil drawings is a plus but you will influence design & record documents for all Commercial/industrial Building Systems centering on MEP (Mechanical, Electrical, & Plumbing) for Air Handling Units, Cooling towers, Chillers, Controls, Fire Detection/Suppression, Plumbing & Piping, P&ID, elements of high, medium and low voltage transmission fundamentals, industrial electrical distribution, wire types and sizes, conduit types & configurations for riser and underground applications, as well as fiber optic and copper data/voice media types, details, elevations, & schedules.You will help develop tools and procedures for standards compliance to streamline workflow and assist with reporting metrics for the GL team while providing support to the Fleet Remediation Engineering team through preparation of ACS/MEP Lifecycle drawing sets. You will provide support for this content through our Global Library as well as preforming on-site validation as needed. You should have experience producing and maintaining permit, construction, and record drawing sets for large facilities (Data Centers, Factories, Hospitals, etc.).Each day you will interact with different teams responsible for engineering, development, integration, and operation of these complex technological sites. You prioritize your activities to support data center maintenance and upgrades, solve problems and blockers, and focus on the actions that are most impactful for program success.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
· Update CAD drawings, BIM models, and provide Lifecycle document control.
· Facilitate updates of CAD drawings, BIM models, and provide Lifecycle documentation through vendors.
· Assist the data center AWS teams with access, content requests, and submittals for As-Built & Record Documentation.
· Integrate all project discipline content to Lifecycle sets updating and modifying existing models and drawing sets as required.
· Assist in development of automation using Lisp, Visual Basic, Dynamo, and other collaboration in a fast paced environment to scheduled targets.
· Manage the issuing and revisions of drawings & models, providing concurrent content through collaborative onsite validation.
· Work on concurrent projects in multiple geographical locations
About the team
Why AWSDiverse 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 BalanceInclusive Team CultureMentorship 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.

- Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers
- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents
- Cumulative of 8 + years BIM/CAD experience in the area of Mechanical, Electrical & Plumbing Building Design & services focused on building engineering and construction technology.
- 5+ years Revit experience using Revit to design and coordinate large Mechanical/Electrical projects

- Experience carrying design concepts through exploration, development, and into deployment or mass production
- Experience with building codes and regulations for your region
- Bachelor's degree in Electrical Engineering or a related field
- Experience with Navis, Procore, Bim360/ACC
- Experience with creating automation using Dynamo or PyRevit.

We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics.Key job responsibilities- Lead the end-to-end development of a domain specific LLM.
- Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets.
- Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.

- Strong communication skills with ability to translate complex technical concepts to various audiences
- Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
- Knowledge of search, ranking, or recommendation systems
- Experience with multi-modal ML systems combining text, image, and structured data