Machine Learning Engineer

Rachel Paul Recruiting; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Rachel Paul Recruiting represents a Seed-Stage Startup in the Nuclear Energy AI space, seeking an AI/ML Software Engineer to build AI models for nuclear data and content. This fully remote role requires US citizenship.

You will develop models for document understanding, RAG, and domain-adapted language models, collaborating with nuclear experts to ensure accurate interpretation of industry content and safe, scalable code.

Qualifications

• 3+ years of experience in AI/ML software engineering.
• Strong background in natural language processing, machine learning, and large language and information retrieval models.
• Familiarity with open-source development practices and version control systems.

Responsibilities

• Develop and implement AI models to understand complex nuclear content and concepts.
• Design and optimize AI models for efficient data navigation and document indexing.
• Collaborate with scientists to leverage supercomputing resources for model training.
• Implement safeguards to prevent AI hallucinations and biases during search and data analysis.
• Create robust, scalable, and maintainable code for our AI platform.
• Contribute to the development of open-source AI tools for the nuclear sector.
• Work closely with nuclear experts to ensure AI models accurately interpret industry-specific content.

Skills

Python

PyTorch

NLP

LLMs

RAG

Tools

HuggingFace

Distributed Computing

Git

Job description

My client is a Seed Series Sartup in the Nuclear Energy Space! They are partnering with power plants to develop AI models for nuclear data and content. Positioning themselves to solve the extremely complex challenges in the nuclear energy space and looking for a AI/ML Engineer to join their team.

**MUST BE A U.S. Citizen, this is a fully remote role**

About the Role

Looking for an AI/ML Software Engineer to build advanced AI models for the nuclear sector. You’ll work on a range of systems, including document understanding, RAG, and domain-adapted language models. Your work will directly connect to making nuclear energy information more accessible and promoting industry knowledge-sharing.

What You Will Do and Achieve

• Develop and implement AI models to understand complex nuclear content and concepts
• Design and optimize AI models for efficient data navigation and document indexing
• Collaborate with scientists to leverage supercomputing resources for model training
• Implement safeguards to prevent AI hallucinations and biases during search and data analysis
• Create robust, scalable, and maintainable code for our AI platform
• Contribute to the development of open-source AI tools for the nuclear sector
• Work closely with nuclear experts to ensure AI models accurately interpret industry-specific content

Who You Are

• 3+ years of experience in AI/ML software engineering
• Strong background in natural language processing, machine learning, and large language and information retrieval models
• Experience with high-performance distributed computing environments is a plus
• Familiarity with or interest in the nuclear energy sector

Key Knowledge and Skills

• Proficiency in Python and experience with PyTorch
• Strong understanding of AI models, particularly in document understanding and information retrieval
• Hands-on experience implementing and fine-tuning Retrieval-Augmented Generation (RAG) systems for domain-specific applications
• Experience with the HuggingFace ecosystem
• Experience with large-scale data processing and distributed computing
• Familiarity with open-source development practices and version control systems
• Excellent problem-solving skills and ability to work in a fast-paced, innovative environment
• Strong communication skills to collaborate with cross-functional teams and external partners
• Commitment to safety and security in dealing with nuclear-related information