Artificial Intelligence and Machine Learning Engineer

United States

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.

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

• 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 Tensor Flow, 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.

• 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.
• 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

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,…