Artificial Intelligence and Machine Learning Engineer

RIVA Solutions, Inc.; United States; On-site; USD 180,000 - 190,000; Full time

Job summary

RIVA Solutions, Inc. is seeking an Artificial Intelligence and Machine Learning Engineer to support the USPTO P-TACTS program.

The role focuses on production AI/ML solutions with emphasis on large language models, retrieval augmented generation, and scalable cloud deployments including Databricks and AWS. You will work directly with government stakeholders and technical teams to translate mission needs into maintainable applications, while ensuring compliance and security requirements.

Qualifications

• Bachelor's in Computer Science, Engineering or related field.
• 5+ years of applied ML and AI engineering experience.
• Strong Python skills and ML frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.
• Experience with LLMs, RAG architectures, and vector databases.
• US work eligibility with ability to obtain USPTO Public Trust.

Responsibilities

• Design, build, and deploy production AI/ML solutions focused on LLMs and RAG.
• Develop scalable cloud deployments in Databricks and AWS.
• Collaborate with government stakeholders and technical teams to translate mission needs into working applications.
• Ensure maintainable, secure cloud deployments and integration with systems.

Skills

5+ years ML/AI engineering

Python

ML frameworks

LLMs & RAG

US work eligibility

Education

Bachelor's in CS/Engineering

Master's preferred

Tools

Databricks

AWS

GCP

Databricks ML Certification

AWS ML Certification

GCP ML Certification

Job description

RESULTS. INNOVATION. VALUES. ACCOUNTABILITY. That’s RIVA. We’re a mission-driven IT services company and systems integrator supporting digital transformation and modernization for federal government agencies. Since 2009, we’ve partnered with our customers to solve complex challenges through smart, practical innovation to deliver real outcomes where they matter most. Our teams are made up of industry-leading experts who are passionate about doing great work and making a difference. We don’t just develop solutions, we support efforts that strengthen communities and serve the public good. RIVA’s culture is built on four core values: Results, Innovation, Values, and Accountability. They guide how we work, how we collaborate, and how we measure success. Our employee-first approach is rooted in trust, ownership, and meaningful work. By investing in our people and fostering a flexible, supportive environment, employees have the opportunity to grow their skills, contribute ideas, and make an impact from day one. all while supporting missions that matter.

Position Overview

RIVA Solutions is seeking an Artificial Intelligence and Machine Learning Engineer to support the USPTO P-TACTS program, the Patent Trial and Appeal Board case tracking and electronic filing system. This role designs, builds, and deploys production AI and ML solutions, with an emphasis on large language models, retrieval augmented generation, and scalable cloud deployments including on Databricks and within the program AWS Cloud environment. The engineer works directly with government stakeholders and technical teams to turn mission needs into working, maintainable applications

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of applied ML and AI engineering experience.
• Strong Python skills and hands-on experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Practical experience with LLMs, RAG architectures, and vector databases.
• Cloud platform experience with [AWS or GCP — confirm USPTO environment], including deployment of ML workloads.
• Experience across supervised, unsupervised, and reinforcement learning approaches.
• Eligibility to obtain a USPTO Public Trust and authorization to work in the U.S.
• Databricks Certified Machine Learning Engineer, AWS Certified Machine Learning Engineer or an equivalent cloud certification.

Preferred Qualifications

• Master's degree in Computer Science or a related field with a machine learning focus.
• Experience with generative and multimodal AI applied to documents and images, such as OCR, layout analysis, and information extraction from scanned filings.
• MLOps experience with pipeline orchestration.
• Full-stack development experience integrating ML services with web interfaces.
• Databricks Certified Machine Learning Engineer, AWS Certified Machine Learning Engineer or an equivalent cloud certification.
• Prior experience delivering on federal government contracts.
• Experience with USPTO, PTAB, or patent and intellectual property data.
• Experience supporting a FISMA Moderate system through security authorization and continuous monitoring.

The salary or salary range for this role reflects an estimated range informed by multiple compensation factors. Final offers may vary based on considerations such as relevant experience, education and training, critical skillsets, and overall business needs.

Pay range

$180,000 - $190,000 USD

EQUAL EMPLOYMENT OPPORTUNITY & ACCOMMODATION

We believe great teams are built from different backgrounds, perspectives, and lived experiences, and we mean that beyond the buzzwords.

RIVA is an equal opportunity employer. We welcome applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, and any other characteristic protected by law.

If you need an accommodation at any point in our process, send an email to [e-mail], we'll be happy to help.

VETERAN SUPPORT & ACCESSIBILITY

As a federal contractor, RIVA follows the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Section 503 of the Rehabilitation Act, supporting the employment and advancement of protected veterans and individuals with disabilities. If you're a veteran, we encourage you to self-identify during the application process, it helps us track our hiring commitments and, in some cases, may support priority referral for open roles.

RIVA also invites applicants to voluntarily self-identify as having a disability during the application process, not because it affects your chances of being hired, but because it helps us measure how well we're living up to our commitments and identify where we can do better. Your response is confidential and entirely optional.