דרושים Senior Applied Scientist Amazon Beauty Tech ב-אמזון ב-United States, Washington, 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

Prime Air is seeking an experienced Supply Chain Engineer who combines technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. We’re looking for people who innovate and love solving hard problems. You will work hard, have fun, and of course, make history!As a Senior Supply Chain Engineer within Amazon Prime Air, you will lead supplier performance and manufacturing readiness across multiple product lines. You will drive scalable mechanisms that improve quality, cost, and delivery, while influencing sourcing strategy, design decisions, and supplier capability. Partnering closely with engineering, quality, and operations, you will enable suppliers to achieve rate, yield, and reliability targets—balancing Day 1 agility with the structure needed to scale Prime Air’s hardware production globally.Key job responsibilities
- Define supplier performance strategy across Prime Air programs—driving quality, cost, and delivery improvements through scalable mechanisms and structured governance.- Influence design, sourcing, and manufacturing strategies through data-backed should-cost models and capability insights, shaping long-term supply decisions.- Lead multi-supplier readiness and rate-scaling initiatives, ensuring alignment to roadmap, capacity, and launch objectives across product lines.- Govern complex technical changes and manufacturing validations, ensuring design intent, reliability, and rate readiness across multiple suppliers.- Own cross-functional program integration, coordinating engineering, quality, and operations deliverables to ensure synchronized ramp and readiness milestones.- Establish global supplier health and risk frameworks, driving standardization, visibility, and accountability across the supply base.- Drive systemic improvement programs that eliminate recurring issues and raise overall supplier maturity.- Act as a technical and operational leader, representing SCEO in strategic reviews and influencing Prime Air’s manufacturing and sourcing roadmap.A day in the life
Each day blends Day 1 innovation with disciplined execution. You’ll shift between solving urgent supplier issues, building scalable mechanisms, and aligning hardware production across teams. One hour you’re deep in yield data or a cost model; the next, you’re on the factory floor driving readiness. This role thrives in ambiguity—turning chaos into structure, and structure into scalable systems that deliver quality, cost, and schedule at speed.

- Experience in developing functional specifications, design verification plans and functional test procedures
- 5+ years of electrical or mechanical engineering experience
- Travel up to 50% domestic travel with short notice
- Proven leadership in supplier relationship management, including defining and governing SLAs, performance scorecards, and escalation mechanisms across multiple suppliers or programs.
- Exceptional written and verbal communication skills, with demonstrated ability to influence senior leaders, align cross-functional teams, and represent Supply Chain Engineering in executive and supplier forums.
- Ability to operate with high autonomy in a global environment, including leading onsite supplier engagements and executive reviews with minimal direction

- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience in component selection and understanding of component reliability
- 7+ years of experience in supplier management or manufacturing engineering for aerospace, automotive, robotics, or high-precision hardware.
- Expertise developing and governing should-cost models, using cost analytics to influence design strategy, sourcing decisions, and long-term negotiation frameworks.
- Deep understanding of DFM/DFA principles and advanced manufacturing quality tools (PPAP, PFMEA, control plans, process validation), with demonstrated ability to standardize and deploy them across diverse supplier networks.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
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:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of experience in cloud architecture and implementation
- 5+ years of hands-on experience in programming languages such as Python, Ruby, Go, Java, JavaScript, .Net, C++, YAML, JSON, and TypeScript
- 5+ years of experience developing scalable CI/CD strategies with tools such as Jenkins, Azure DevOps, GitLab, ArgoCD, GitHub Actions, and Harness
- 5+ years of experience with Infrastructure as Code such as CloudFormation, Terraform, or CDK

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- 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
- Hands on experience with microservice and serverless orchestration architectures such as Kubernetes, EKS, Docker, and Lambda
- Hands on experience designing and implementing ETL data pipelines (Kafka, Airflow, Spark, Hadoop, Glue), MLOps pipelines (Sagemaker, MLFlow, Kubeflow), or LLMOps pipelinesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

- 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
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

Key job responsibilities
A day in the life
* Serve as the primary relationship owner for assigned partner(s), developing comprehensive partnership strategies and maintaining executive relationships
* Collaborate with Product, Engineering, and Business leaders across Amazon to define requirements and ensure successful execution of partnership initiatives
* Lead complex, multi-stakeholder negotiations for strategic technology partnerships, licensing agreements, and co-development initiatives
* Prepare and present business reviews to senior executives on partnership progress, strategic opportunities, and potential risks
* Drive "Think Big" strategies to identify next-generation technology opportunities across domains like AI, OS, Search.

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military 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

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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