דרושים Data Science - Simulations Scot Fo Litmus ב-אמזון ב-United States, Bellevue

- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.

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.The successful candidate will support the Data Center Physical Security Team with the implementation of AWS’s security policies and procedures at AWS Data Center(s). You will also be responsible for coordinating physical security operations, testing and conducting audit reviews of the Physical Security Program, provide support to the Contract Guard Force, contractors and all stakeholders within the Data Center. You will possess a willingness to learn new skills and build relationships with internal and external partners to maintain and enhance the safety and security standards of our Data Center operations. We invite candidates from diverse backgrounds to apply for this role as training will be provided.As a Data Center Security Manager, you will be tasked with running day-to-day data center security operations, supporting and executing security projects and programs, as well as assuring audit compliance with AWS policies and procedures.Key job responsibilities
Responsibility:
- Handle site security incidents, escalations, or any other security related issues.
- Provide after-hours on-call management support and participate in an emergent, large scale event response when needed.
- Participate in re-occurring data center security audits and reviews.
- Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.
- Provides input on, and may develop security methodologies, policies and procedures.
- Write reports and communicate with management on the status of DC security operations.
- Oversee new security construction or retrofit projects.
- Manage the security P&L for the assigned site(s), assist management with financial analysis, and contribute to financial decisions for security requirements.- Direct and manage the contract guard force to run daily data center operations.About 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

- Speak, write, and read fluently in English
- Bachelor’s degree or equivalent professional experience in security or related fields; i.e.,compliance, logistics, transportation, facilities among others
- 2+ years of commercial or industrial work experience.

As a Software Development Engineer in the Amazon Device OS organization, you will own the definition and implementation of components used to build applications on millions of devices. We are building a new development environment for our smart home devices, and, as part of this effort, you will create common software components for product lines such as Echo and Fire TV. You will be challenged to create rich customer applications, while optimizing for performance.
You will engage with an experienced cross-disciplinary staff to conceive and design innovative customer experiences. You will create new solutions in a responsive, flexible and collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Amazon ecosystem for our exciting future in consumer devices.
Key job responsibilities
As a Software Development Engineer, you will:
- Understand and refine the scope of incoming projects

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.

- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).

Key job responsibilities
- Architect and implement sophisticated network infrastructure solutions.
- Lead and actively participate in technical project implementation such as Network stack modernization.
- Provide expert-level resolution for complex technical challenges while maintaining system reliability, including Network outages and performance issues.- Own and manage critical network and system configurations across AU wide.What's On Offer
- Competitive compensation packages including paid comprehensive health insurance.
- Investment in your growth through advanced technical certifications.- Platform to develop others while advancing your technical expertise.
- Access to the most advanced technology and innovation in the field.

- 3+ years of enterprise IT experience with proven technical expertise.
- Comprehensive knowledge of networking technologies (TCP/IP, OSPF, BGP, VLANs).
- Strong background in implementing network security solutions.
- Hands-on Linux systems administration expertise.
- Extensive Windows Server environment experience.
- Practical experience with Cisco enterprise equipment.
- Experience managing mission-critical infrastructure.
- Flexibility for shift work and on-call responsibilities.

In this role, you will be the voice of the builder, with ownership for working alongside Amazon businesses to develop GenAI solutions that deliver their immediate business value and realize the future of customer experience. You will help your customers understand best practices and develop new best-practice patterns as you encounter new problem spaces. With your day to day focus on the builder, you will be expected to provide insights to product, science, and engineering on how customers build with our FM's and how we can improve. You will be empowered to invent on behalf of our customers and advocate for their needs throughout design, build, and launch of next gen FM's.This position has a high level of visibility, so you will need to be able to communicate clearly and compellingly at all levels of the company. Additionally, you will be responsible for measuring business impact by diving deep into metrics and customer inputs. You should have a positive attitude and strong work ethic; you will work fast and smart, and adapt and iterate quickly.Key job responsibilities
- Customer Advisor- Implement, and deploy state of the art machine learning solutions under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers.
- Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.- Drive evaluation strategy, metric design, and evaluation data design for real-world use cases

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, engineering, or computer science.
- 5+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.
- 3+ year experience working with technologies related to large language models including LLM architectures and model evaluation
- Experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
- Experienced in specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.

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

Key responsibilities of a Data Scientist in CIV Team include:
- Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation
- Leading training and informational sessions on our science and capabilities

- 3+ years of 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 data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment