Computer Vision & ML Engineer, Computer Vision and Remote Sensin Jobs

$118,200 - $204,300/Yr

Amazon - Herndon, VA

Full-time - Mid Level

Onsite - Herndon, VA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Amazon Web Services (AWS) US Federal Professional Services team is seeking a passionate and talented Computer Vision engineer to collaborate with scientists and engineers in developing computer vision and remote sensing capabilities tailored to customer use-cases at enterprise scale. This role is ideal for individuals excited about working with massive datasets and computer vision models to tackle real-world challenges. The team engages directly with public sector entities, medical centers, and non-profits, helping them achieve their mission goals through the adoption of Machine Learning (ML) methods. The applications of computer vision span various imagery and sensor types, including satellite imagery, medical imaging, aerial video, synthetic aperture radar, and X-Ray, among others. By joining AWS, you will become part of a community of scientists and engineers dedicated to creating 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 that provide direct and immediate impact for customers. Your responsibilities will include planning, designing, and conducting experiments, researching new algorithms, and collaborating closely with talented data scientists and engineers to operationalize algorithms and models to address our customers' most challenging problems. You will also guide teams in developing new solutions and assist customers in adopting AWS ML capabilities. This position may involve local travel up to 25%, and you are expected to work from one of the specified locations or customer sites at least one day a week. It is important to note that this is not a remote position; you will need to be present in the office or with customers as required. Additionally, candidates must be US Citizens and obtain and maintain an active TS/SCI security clearance with polygraph, with sponsorship for clearance for each government agency for which they perform AWS work.

Responsibilities

• 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, including understanding the business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud.
• Use Deep Learning frameworks like PyTorch and Tensorflow to help customers build computer vision models.
• Work on TB scale datasets, creating scalable, robust, and accurate computer vision systems in versatile application fields.
• Collaborate with other Professional Services Data Scientists and Machine Learning Engineers to help customers operationalize ML capabilities.
• Work with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
• Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.

Requirements

• Knowledge of primary cloud services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing cloud services in various distributed computing environments.
• 2+ years of programming experience in Python, Ruby, Go, Swift, Java, .Net, C++, or similar object-oriented languages.
• 2+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and understanding parameters that affect their performance.
• Current, active US Government Security Clearance of TS/SCI with Polygraph.

Nice-to-haves

• 1+ years of experience with AWS services like SageMaker, S3, Fargate, DynamoDB, and/or Rekognition.
• 2+ years of experience handling terabyte-scale datasets.
• AWS Certifications, such as AWS Solution Architect Associate/Professional, ML Specialty, or Developer Associate.
• Experience working with industry-standard formats in an imagery domain, such as Satellite Imagery (NITF, GeoTIFF, SICD), Motion Imagery, 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.

Benefits

• Comprehensive medical, financial, and other benefits package.
• Equity and sign-on payments may be provided as part of a total compensation package.
• Flexible working culture to support work-life balance.