Description
Application deadline: Applications will be accepted on an ongoing basis
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 Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their 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 both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs). Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.
At AWS, we're hiring experienced Data Scientists with a background in both traditional and generative AI who understand the unique challenges of the Signals Intelligence (SIGINT) and Cyber Operations domains, with experience applying data science and machine learning to transform Intelligence Community production chains.
In this role, you will work at the intersection of SIGINT, Cyber Operations, and cloud computing, helping customers understand the opportunities their data presents, applying the full suite of AWS's AI/ML services to transform missions, and building solutions that earn the customer trust needed for deployment to production systems. You will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI.
This position is expected to work within the Ft. Meade/CMD location, and 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.
It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.
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Key job responsibilities
As a Data Scientist, you will:
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, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to 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 never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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.
Basic Qualifications
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.
3+ years of experience in: migrating and transforming legacy SIGINT/Cyber capabilities through data science and machine learning approaches; and 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 Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
Experience using Python and hands on experience building models with deep learning frameworks (i.e., 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 Colorado base pay for this position ranges from $136,000/year up to $184,000/year. The National 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. Dependent 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.
