דרושים Applied Scientist Ii ב-אמזון ב-United States, Palo Alto

- Be great fun to work with. At AWS, we have a credo of “Work hard. Have fun. Make history”. In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.- Have a strong understanding of large scale computing solutions. The ideal candidate will have past experience working as a systems or support engineer. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions. You will regularly take part in deep-dive education and design exercises to create truly innovative solutions built on AWS.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.
10040About the team
Diverse Experiences
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 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.Work/Life Balance

- Bachelor's degree, or 7+ years of professional or military experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 3+ years of software development with object oriented language experience
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- 7+ years experience in infrastructure architecture, database architecture and networking
- Experience in technology/software sales consulting or equivalent skills
- Professional experience architecting/deploying/operating solutions built on AWS
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience managing highly available data center operations with responsibility for infrastructure robustness, including networking, server hardware and storage
- Understanding of Federal Government application, server, and network security requirements such as ICD 503, FISMA and FedRAMP.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
Collaborate with stakeholders to gather requirements and propose effective migration strategies.Providing technical guidance and troubleshooting support throughout project delivery.Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.About the team
Diverse 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.Why AWS
Work/Life BalanceMentorship 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.

3+ years of AI and ML experience and data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of cloud architecture and implementation.Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment.Knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets.

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation)AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect 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.Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training,and implementation of AI systems.

As a leader in the Data Center Capacity Delivery (DCCD) organization, you will research, develop, and ensure meticulous and timely delivery of our Data Centers. Principal Commissioning Engineers are hands-on, producing both detailed technical work and high-level program designs and process frameworks. They will aid in establishing testing methodologies, drive standardization, and increase quality across all AWS building sites.The successful candidate will have extensive experience in commissioning, program development and sustainment, and cross-functional collaboration. They must have a proven record of leading commissioning programs on large-scale critical infrastructure deployments, including Quality Control (QC), Startup, Functional Performance Testing (FPT), Integrated System Testing (IST), and cost- and schedule-mitigating measures. This position requires excellence in a fast-paced environment and the ability to manage concurrent responsibilities while supporting parallel initiatives.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
* Serve as the Subject Matter Expert (SME) for electrical systems and the commissioning program for AWS leased/owned data centers
* Lead and support AWS pre-construction and construction management teams for new data center design and process improvement
* Lead and support AWS product teams and Principal Engineering for new data center design, new products, and product enhancements
* Lead and support reviews of design specifications, testing requirements, and test procedures and standards for adherence to commissioning specifications
* Lead and support workshops that drive alignment on key issues, construction practices, data center designs, and initiatives with the focus of increasing the effectiveness of construction and commissioning while enhancing customer experience and operational excellence
* Assist in Development and delivery of technical training programs for commissioning teams, to ensure consistency in procedures and knowledge transfer
* Conduct regular quality assurance audits of commissioning processes, documentation, and field execution to maintain high standards and identify areas for improvement
* Lead Correction of Errors (COE) investigations, root cause analysis (RCA), and implementation of preventive measures to enhance system reliability and operational efficiency
* Participate in technical interviews for commissioning team members and contractors, ensuring the selection of qualified personnel aligned with AWS standardsAdditional Job Requirements
· Ability and willingness to travel domestic and internationally for up to 50% of the year.
· Required to provide personal transportation for meetings and job visits away from the office; reimbursed.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.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 Electrical/Mechanical Engineering or equivalent, or relevant discipline work experience
- 7+ years’ experience directly related to the commissioning/startup of data centers/critical infrastructure or large-scale, utility systems, mechanical and electrical plant and experience with large infrastructure project execution.
- Strong understanding of construction processes, mechanical and electrical systems, and commissioning methodologies.
- Knowledge of industry standards/best practices related to Commissioning.
- Strategic thinking and long-term vision for technical direction

- Experience carrying design concepts through exploration, development, and into deployment or mass production

You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns.Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.Key job responsibilities- Design and build agents to guide advertisers in conversational and non-conversational experience.
- Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
- Curate datasets and tools for MCP.
- Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.
- Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.
- Prototype and iterate on multi-agent orchestration frameworks and workflows.- Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.

- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application 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.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Senior Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities
As an experienced Senior Data Scientist, you will be responsible for:
1. Lead end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring
2. Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges4. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders
Diverse 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.Why AWS
Work/Life BalanceMentorship 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.

- Master's degree in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field with 5+ years of experience; or bachelor's degree with 8+ years of experience
- 5+ years of building machine learning models for business application experience
- 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying transformer models in production
- Experience with cloud services related to machine learning (e.g., Amazon SageMaker) and generative AI applications
- Experience with technical customer-facing engagements, and strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

- PhD in computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, VPC) and professional certifications (e.g., Solutions Architect Professional)
- 2+ years of experience with design, deployment, and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain, LangGraph, LlamaIndex, and/ or similar tools
- 5+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience using PyTorch or TensorFlow
- Experience in launching AI applications in production on AWS
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, distributed & GPU training, model deployment, monitoring, and retraining; experience with container and CI/CD pipelines

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 CTR 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

As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in the space of AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer’s needs, and translate it into actionable plans for our team of applied scientists, and engineers.Key job responsibilities
- Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand.- You are a role model and help grow other scientists in the organization.- You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls.- You have 10+ years of research experience after a PhD degree.

- PhD or equivalent in Computer science/Math or related field.
- Experience in building complex, real-time systems using GenAI, with successful delivery to customers.
- Computer Science fundamentals in data structures, algorithm design and complexity analysis.
- Ability to develop machine learning platform strategy in the domain of recommender systems.
- Ability to develop a GenAI strategy for recommender systems.

10+ years of relevant, broad research experience after PhD degree or equivalent.
Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput.
Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at top-tier peer-reviewed conferences or journals.
Experience with mentorship and/or management of senior scientists and engineers.
Effective verbal and written communication skills with non-technical and technical audiences.
Experience working with real-world data sets and building scalable models from big data.
Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
Ability to take a project from requirements gathering and design to actual product launch.