Machine Learning Engineer - Modeling at Pryon

At Pryon, we are a group of language, AI, and technology specialists whose expertise helped shape iconic products like Alexa, Siri, and Watson. We are currently focused on creating a premier knowledge management and Retrieval-Augmented Generation platform. Our goal is to turn unstructured data into highly accurate, productive experiences, and we want you to help us push the boundaries of what is possible.

Role at a glance

We are looking for a Senior Machine Learning Engineer to join our Modeling and Large Language Models team. This is a full-time position that can be performed remotely from anywhere. You will be working on a team dedicated to developing advanced information retrieval and question-answering systems that operate across both structured and unstructured data.

Your impact

• Tackle fundamental challenges in machine learning, natural language understanding, and human-computer interaction to create real-world commercial solutions.
• Lead experimentation and model development, designing innovative new features while refining our existing system architecture.
• Collaborate closely with our AI Engineering team to transition mature, cutting-edge technology into our production environments.

What you'll need

To succeed in this role, you should have a strong foundation in computer science and a passion for building intelligent systems. We are looking for the following qualifications:

• A Master’s degree or higher in a technical field like Computer Science or Data Science, paired with at least 3 years of relevant industrial or academic experience.
• Proven ability to drive the development side of research and development initiatives.
• Hands-on experience building and innovating deep learning models for NLP, speech recognition, or computer vision.
• High competency in software design, data structures, and algorithms, with expertise in Python, C++, or Java.
• Proficiency with deep learning toolkits, specifically PyTorch or Hugging Face.
• Experience developing LLM applications for structured and semi-structured data, such as graph-RAG or NL2SQL.
• Familiarity with cloud-based development environments like AWS, Azure, or Google, along with experience in micro-service creation.
• A proactive, get-it-done attitude and the ability to thrive in a fast-paced, collaborative startup environment.
• Fluency in English.

Perks and compensation

We offer a supportive, remote-first environment designed to help you do your best work. Our benefits package includes:

• 100% company-paid medical, dental, and vision insurance for you and your dependents.
• Comprehensive life insurance and disability coverage.
• A 401k retirement plan.
• Unlimited vacation time.