Artificial Intelligence and Machine Learning Engineer
Solutions
$180,000 - $190,000 / year
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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
- Experience with generative and multimodal AI applied to documents and images, such as OCR, layout analysis, and information extraction from scanned filings.
- Databricks Certified Machine Learning Engineer, AWS Certified Machine Learning Engineer or an equivalent cloud certification.
- 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.
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 talent@rivasolutionsinc.com, 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.
About this role
RIVA Solutions is looking for an AI and Machine Learning Engineer to build production systems for the USPTO's Patent Trial and Appeal Board case tracking platform. You'd design and deploy large language models, retrieval augmented generation architectures, and scalable ML workloads on Databricks and AWS, working directly with government stakeholders to translate their mission needs into working applications.
The role requires at least five years of applied ML and AI engineering experience, strong Python proficiency, and hands-on work with frameworks like TensorFlow and PyTorch. You'll need practical experience with LLMs, RAG systems, and vector databases, plus cloud deployment skills on AWS or GCP. A relevant cloud certification (Databricks or AWS ML Engineer) is required. This is a full-time, in-office position in the US paying $180,000 to $190,000.
If you have background in generative AI applied to document processing, MLOps pipeline orchestration, or prior federal government contract work, those experiences would strengthen your candidacy. You'll need eligibility for a USPTO Public Trust clearance and authorization to work in the U.S.
Pay for this role
$180,000 to $190,000 per year
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