Senior Machine Learning Engineer

Senior Machine Learning Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Government

Workplace Type: Remote

Location: Remote

Rate: 80-90/hr w2

Due to federal security clearance requirements, the applicant must be a United States Citizen or Permanent Resident.

Out Client is seeking a highly skilled Senior Machine Learning Software Engineer to support the United States Patent and Trademark Office (USPTO) in its mission to foster innovation and protect intellectual property. This role is critical to advancing USPTO’s efforts in modernizing patent and trademark processing through cutting‑edge AI/ML/NLP technologies. You will design and implement advanced solutions in a secure, cloud‑native environment leveraging AWS services, ensuring compliance with federal cybersecurity standards.

As part of this program, you will help USPTO achieve its strategic goal of improving efficiency, accuracy, and accessibility in intellectual property systems—directly impacting innovation across the nation.

• Design and develop predictive models using machine learning algorithms (regression, classification, clustering, neural networks).
• Build and integrate AI/ML/NLP solutions within AWS cloud environments, ensuring compliance with USPTO cybersecurity and federal standards.
• Apply best practices in software engineering to deliver maintainable, efficient, and secure code.
• Identify and resolve performance bottlenecks, security vulnerabilities, and technical challenges.
• Utilize Terraform, Git Lab, and Git Lab Runner for CI/CD pipelines, automated testing, and security scans.
• Support production deployments, monitoring, troubleshooting, and root cause analysis.
• Participate in Agile ceremonies: sprint planning, backlog refinement, reviews, demos, and retrospectives.

• Technical Expertise:
• Strong proficiency in Python and ML frameworks (Tensor Flow, PyTorch).
• Hands‑on experience with AWS services:
  Bedrock, Lambda, ECS, SQS, SNS, S3, Aurora RDS.
• Proven experience with Image Transformer models (e.g., Microsoft DiT) for document image understanding.
• Familiarity with self‑supervised learning techniques and Transformer‑based Document AI tasks.
• Integration of Transformer models into OCR pipelines and image processing using OpenCV.
• Experience with Terraform, Git Lab Runner, and CI/CD automation.

• Education: Bachelor’s or higher in Computer Science, Machine Learning, or related field.
• Certifications: Any AWS certification (Solutions Architect, Developer, Machine Learning Engineer, Sys Ops Admin, or Cloud Practitioner).
• Clearance: Ability to obtain and maintain Public Trust clearance (U.S. Citizenship required).

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, 781‑808‑2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI‑assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.