Data Scientist - Computer Vision, WWPS ProServe

The Amazon Web Services (AWS) US Federal Professional Services team is looking for a passionate and talented Computer Vision Data Scientist who will collaborate with other scientists and engineers to develop computer vision and remote sensing capabilities to address customer use-cases at enterprise scale. If you are excited to work with massive amounts of data and computer vision models to solve real world challenges, this is the position for you! We work directly with public sector entities, medical centers, and non-profits to achieve their mission goals through the adoption of Machine Learning (ML) methods. We apply computer vision to numerous imagery and sensor types, such as satellite imagery, medical imaging, aerial video, synthetic aperture radar, X-Ray, and more! Amazon has been investing in Machine Learning for decades, and by joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications.

In this customer facing position, you will architect and implement innovative, AWS Cloud-native ML solutions, providing direct and immediate impact for your customers. You will take the lead in planning, designing, and running experiments, researching new algorithms, and will work closely with talented data scientists and engineers to put algorithms and models into practice to help solve our customers' most challenging problems. You will also guide teams in the development of new solutions and aid customers in adopting AWS ML capabilities.

This position may involve local travel up to 25%.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate have the ability to obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Engage directly with customers to understand their business problems and aid them in implementing their ML solutions.
- Deliver Machine Learning projects from beginning to end. This includes understanding the business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact for the customer.
- Use Deep Learning frameworks like PyTorch and Tensorflow to help our customers build computer vision models.
- Work on TB scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields.
- Work with other Professional Services Data Scientists and Machine Learning Engineers to help our customers operationalize ML capabilities
- Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
- Work closely with customer account teams, scientific research teams and product engineering teams to optimize model implementations and deploy internal algorithms for your customers.
- Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
- Experience applying best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.)

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 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.

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.

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.

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 - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years of data scientist experience, 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Current, active US Government Security Clearance of TS/SCI or above

Preferred Qualifications

- 3+ years of experience handling terabyte-scale datasets
- AWS Certifications, for example AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate
- Experience working with at least one of the following industry standard formats in an imagery domain: Satellite Imagery (NITF, GeoTIFF, SICD, etc.), Motion Imagery (commercial and USG FMV specs), or medical imagery (e.g. DICOM)
- Hands-on experience with state-of-the-art object detection approaches
- Experience managing multiple AWS and ML Environments through Infrastructure as code (Cloudformation, Cloud Development Kit, Terraform, Pulumi, etc.)
- Experience containerizing/deploying computer vision models, specifically neural networks, into production environments

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. 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.