Full-Time
Machine Learning Engineer
Modeling
Posted on 10/31/2025
Pryon
51-200 employees
AI memory layer for enterprise data
Compensation Overview
$160k - $175k/yr
No H1B Sponsorship
Boston, MA, USA
Remote
Authorized to work in the United States; no visa sponsorship available.
 AI & Machine Learning (2) |
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- Master’s degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial / academic work experience (or equivalent)
- Demonstrated ability to drive the development side of R&D efforts
- Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition
- Experience with one or more of deep learning toolkits (PyTorch/Hugging Face preferred)
- Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java)
- Experience building and improving Large Language Model applications for processing semi-structured and structured data such as NL2SQL and graph-RAG
- Experience with practical applications in NLP, especially with transformers/LLMs a plus
- Publications in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus
- Experience working in cloud-based development environments such as AWS, Azure, or Google
- Experience with micro-service creation
- Strong problem solving skills, with a hands on, get-it-done attitude
- Team player with ability to work in a close-knit, fast-paced startup environment
- Help solve fundamental problems in machine learning, natural language understanding and human computer interaction with applicability to practical commercial use cases.
- Help with experimentation and model development, and design new features as well as improve existing ones in our system.
- Partner with the AI Engineering team to transition mature technology to our production environment.
Pryon provides an AI memory layer for enterprises that uses Retrieval-Augmented Generation to manage and query large sets of internal data. It ingests unstructured content from sources like SharePoint, Google Drive, and Salesforce, then uses its own models to generate verifiable, natural-language answers grounded in the company’s trusted data. The platform can be deployed on-premises, in the cloud, or in secure air-gapped environments with implementation taking weeks. Pryon aims to help large organizations and government agencies turn unstructured data into reliable, quickly accessible knowledge to support everyday workflows and strategic decisions.
Company Size
51-200
Company Stage
Series B
Total Funding
$139.5M
Headquarters
Raleigh, North Carolina
Founded
2017
Simplify's Take
What believers are saying
- Hamsa Buvaraghan's Google AI expertise accelerates 2026 memory innovations.
- Carahsoft partnership unlocks federal procurement and public sector growth.
- NVIDIA and Dell clients validate enterprise scalability and productivity gains.
What critics are saying
- Microsoft Copilot bundles RAG into Azure, undercutting Pryon pricing in 6-12 months.
- OpenAI SearchGPT erodes enterprise retrieval differentiation within 12-18 months.
- Databricks MosaicML enables in-house RAG, driving customer churn in 12-24 months.
What makes Pryon unique
- Pryon's RAG Suite processes multimodal unstructured data with 90%+ accuracy.
- Air-gapped deployments enable secure AI for government and defense clients.
- Proprietary ETL Ingestion Engine handles OCR and semantic segmentation.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -2%2 year growth
↑ 7%Pryon appoints AI veteran Hamsa Buvaraghan as SVP/Head of Product to lead next generation of AI memory innovation. Google and Microsoft product veteran joins Pryon to lead company's enterprise AI memory vision and Strategy. Pryon, the pioneer in enterprise AI memory and retrieval-augmented generation (RAG) solutions, announced the appointment of Hamsa Buvaraghan as SVP/Head of Product. This strategic hire signals Pryon's aggressive push to dominate the emerging AI memory space with groundbreaking innovations planned in 2026 and beyond. Buvaraghan brings over 20 years of product and strategic leadership experience in AI and cloud technologies. Previously, she led AI Product Management and Strategy at Google, for multi-billion-dollar portfolios across Google Cloud's AI/ML platforms, databases, and ML infrastructure. At Google, she pioneered several foundational AI/ML services, translated DeepMind research into successful enterprise products, and developed Google Cloud's first Inference TPU. Prior to Google, she served as Product Management & Strategy Leader at Microsoft, where she led the vision and launch of Azure Analytics across multiple platforms. Earlier in her career, she also held global product leadership position at SAP where she spearheaded the launch of SAP HANA Cloud Platform Analytics & AI services, driving 171% ROI and boosting cloud revenue by 40%.
NEW YORK, July 3, 2025 /PRNewswire/ - Pryon, the definitive leader in enterprise AI memory solutions, today announced its recognition as the "AI Data Management Solution of the Year" in the prestigious 8th annual AI Breakthrough Awards.
Pryon is a leading generative artificial intelligence service provider. The company secured a reputation for quality due to its product's simplicity and accuracy. Today, the firm provides enterprise clientele with reliable AI-powered search features that enable companies to unlock data volume efficiently. Pryon's positioning and unique feature set continue to drive demand for the company's stock. Notably, the company is privately held. If the company were to go public, it would have strong support from both the institutional and private investment sectors.Despite this demand, Pryon has not officially shared plans to host an IPO anytime soon
Pryon today announced the launch of its Pryon Ingestion Engine and associated SDK, an Extract, Transform, and Load (ETL) solution designed to unlock business value from unstructured data.
New solution converts data from diverse sources containing multimodal content into machine-readable data for AI applicationsRALEIGH, N.C., July 25, 2024 /PRNewswire/ -- Pryon today announced the launch of its Pryon Ingestion Engine and associated SDK, an Extract, Transform, and Load (ETL) solution designed to unlock business value from unstructured data. Leveraging Pryon's powerful, proprietary document processing models and pipelines, the new solution converts unstructured data—from various document types and formats—into machine-readable data, ensuring accuracy and usability for AI applications.Data holds tremendous business value for enterprise, yet much of it remains trapped in unstructured formats, in large volumes and across diverse sources. Fragmented data not only limits data access but also compromises quality and AI model performance. Processing unstructured data also requires significant effort and consumes a substantial amount of data engineers' time, impacting operational efficiency and overall innovation."Enterprises sit on troves of valuable knowledge, but it is often scattered across various locations, formats, and levels of quality. Unifying this information into a coherent, machine-readable form is a significant challenge," said Chris Mahl, President and COO, Pryon. "Our ingestion solution and SDK transforms mountains of unstructured data within an organization into a unified, structured format, enabling enterprises to build and deploy AI applications."Pryon's Ingestion Engine and SDK leverages cutting-edge filetype handling, layout analysis, OCR (Optical Character Recognition) and Handwritten Text Recognition (HTR), and semantic segmentation to extract critical insights from unstructured documents