Amazon
Data Scientist, Data and Machine Learning, WWPS US Federal
Amazon, Seattle, Washington, us, 98127
Data Scientist, Data and Machine Learning, WWPS US Federal
Job ID: 3091169 | Amazon Web Services, Inc. Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The AWS US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to advance mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the AWS organization to bring access to product and service teams, deliver the right solution, and drive feature innovation based on customer needs. In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand data opportunities, applying AWS AI/ML services to transform missions, and building solutions that earn trust for deployment to production systems. You will collaborate with customers to understand data challenges and requirements, and design tailored solutions that fit their use cases. You should have broad experience building models from diverse data sources and developing data-intensive applications at scale. Strong business acumen and communication skills are required to translate requirements into actionable solutions and to provide guidance to other engineers, sharing best practices and driving innovation in data science and AI. This position is expected to work within the Ft. Meade/CMD location and requires that the candidate possess and maintain an active TS/SCI Security Clearance with polygraph. The position may require commensurate clearance for each government agency for which AWS work is performed. It is expected to work from one of the above locations (or customer sites) at least 1+ days per week. This is not a remote position; you are expected to be in the office or with customers as needed. Key job responsibilities Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real-world challenges. Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures. Interact with customers directly to understand the business problem, aid implementation of AI solutions, deliver briefings and deep dive sessions, and guide adoption patterns to production. Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. This position may require up to 25% local travel. About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — customers range from startups to Global 500 companies who rely on our robust products and services to power their businesses. Diverse Experiences AWS values diverse experiences. If you do not meet all listed qualifications, we encourage you 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. Inclusive Team Culture We value curiosity and learning. Our employee-led affinity groups foster inclusion and empower us to embrace our differences. Ongoing events and learning experiences inspire us to celebrate diversity. Work/Life Balance We value work-life harmony. Flexible work hours and arrangements are part of our culture to support a healthy balance between work and home. Mentorship & Career Growth We support continuous improvement and provide opportunities for mentorship and career growth to help you develop as a professional. Basic Qualifications
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience. 3+ years of experience migrating and transforming legacy SIGINT/Cyber capabilities through data science and ML approaches; experience building models within SIGINT/Cyber operational constraints. Professional experience applying data science within Intelligence Community production chains. Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning. Current, active US government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications
Masters or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field. Experience using Python and hands-on experience building models with deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet). Experience building applications leveraging GenAI. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Location: ES, Community of Madrid, Madrid Posted: October 3, 2024 (Updated 3 months ago) Posted: December 10, 2024 (Updated about 1 month ago) Posted: November 7, 2024 (Updated 5 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 3091169 | Amazon Web Services, Inc. Are you excited to help the US Intelligence Community design, build, and implement artificial intelligence (AI) algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The AWS US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to advance mission goals through the adoption of Machine Learning (ML) and Generative AI (GenAI) methods. We build models and Machine Learning Operations pipelines for text, image, video, audio, and multi-modal use cases, leveraging traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the AWS organization to bring access to product and service teams, deliver the right solution, and drive feature innovation based on customer needs. In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand data opportunities, applying AWS AI/ML services to transform missions, and building solutions that earn trust for deployment to production systems. You will collaborate with customers to understand data challenges and requirements, and design tailored solutions that fit their use cases. You should have broad experience building models from diverse data sources and developing data-intensive applications at scale. Strong business acumen and communication skills are required to translate requirements into actionable solutions and to provide guidance to other engineers, sharing best practices and driving innovation in data science and AI. This position is expected to work within the Ft. Meade/CMD location and requires that the candidate possess and maintain an active TS/SCI Security Clearance with polygraph. The position may require commensurate clearance for each government agency for which AWS work is performed. It is expected to work from one of the above locations (or customer sites) at least 1+ days per week. This is not a remote position; you are expected to be in the office or with customers as needed. Key job responsibilities Collaborate with AI/ML Scientists and Architects to research, design, develop, and evaluate AI algorithms to address real-world challenges. Participate in the design and construction of Machine Learning Operations (MLOps) pipelines and architectures. Interact with customers directly to understand the business problem, aid implementation of AI solutions, deliver briefings and deep dive sessions, and guide adoption patterns to production. Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. This position may require up to 25% local travel. About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — customers range from startups to Global 500 companies who rely on our robust products and services to power their businesses. Diverse Experiences AWS values diverse experiences. If you do not meet all listed qualifications, we encourage you 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. Inclusive Team Culture We value curiosity and learning. Our employee-led affinity groups foster inclusion and empower us to embrace our differences. Ongoing events and learning experiences inspire us to celebrate diversity. Work/Life Balance We value work-life harmony. Flexible work hours and arrangements are part of our culture to support a healthy balance between work and home. Mentorship & Career Growth We support continuous improvement and provide opportunities for mentorship and career growth to help you develop as a professional. Basic Qualifications
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience. 3+ years of experience migrating and transforming legacy SIGINT/Cyber capabilities through data science and ML approaches; experience building models within SIGINT/Cyber operational constraints. Professional experience applying data science within Intelligence Community production chains. Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning. Current, active US government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications
Masters or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field. Experience using Python and hands-on experience building models with deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet). Experience building applications leveraging GenAI. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Location: ES, Community of Madrid, Madrid Posted: October 3, 2024 (Updated 3 months ago) Posted: December 10, 2024 (Updated about 1 month ago) Posted: November 7, 2024 (Updated 5 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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