Senior Machine Learning Engineer

Pryon; Raleigh (NC); Remote; USD 130,000 - 150,000; Full time

Job summary

A leading company in AI and language technology is looking for a Senior Machine Learning Engineer to join its Modeling & Large Language Models team. This role involves developing scalable question and answering systems, fine-tuning large language models, and collaborating with various teams to enhance product integration. Candidates should have a Master’s degree in a related field and substantial experience in machine learning and natural language processing.

Benefits

100% Company paid Health/Dental/Vision benefits

Life Insurance

Unlimited PTO

401k

Qualifications

• Over 3 years of industry experience in machine learning and natural language systems.
• Experience with Large Language Models like GPT, BERT.
• Proficiency in Python and experience with ML frameworks.

Responsibilities

• Develop and fine-tune Large Language Models (LLMs).
• Design and implement scalable machine learning pipelines.
• Collaborate with other team members to integrate LLMs into products.

Skills

Machine Learning

Natural Language Processing

Python

Cloud Services

Problem Solving

Education

Master’s degree in Computer Science

Tools

TensorFlow

PyTorch

Job description

About Pryon:

We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

We're looking to hire a Senior Machine Learning Engineer in our Modeling & Large Language Models team. In this role, you'll be part of a team that is building world-class information retrieval and question answering systems over structured and unstructured data. The Senior Machine Learning Engineer will be responsible for creating scalable enterprise grade question and answer systems using innovative machine learning and artificial intelligence tools and concepts.

In This Role, You Will:

• Develop and fine-tune Large Language Models (LLMs) to meet specific product requirements.
• Design and implement scalable machine learning pipelines for training and deploying LLMs.
• Optimize LLMs for performance, efficiency, and accuracy in various applications.
• Collaborate with data scientists, product managers, and software engineers to integrate LLMs into products.
• Conduct thorough testing and validation of models to ensure robustness and reliability.
• Continuously research and stay up to date with advancements in LLMs and related technologies.
• Develop and document methodologies, findings, and best practices for LLM fine-tuning.
• Mentor junior team members and contribute to a culture of continuous learning.
• Participate in code reviews and ensure high coding standards within the team.
• Engage in the full machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring

What You'll Need to Be Successful:

• Education:Master’s degree in Computer Science, Information Systems, Mathematics, Computer Engineering or a related field or foreign equivalent degree.
• 3 years+ industry experience in machine learning, with a focus on developing language models and natural language systems;
• 3 years+ experience developing LLMs, such as GPT, BERT, or similar models.
• 3 years+ experience working with Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• 3 years+ experience with cloud services (e.g. AWS, GCP, Azure) and ML infrastructure.
• 3 years+ experience working with software engineering principles and fundamentals, including data structures and algorithms.
• 3 years+ experience developing problem-solving skills and working in a collaborative team environment.
• 3 years+ experience working with embeddings, vectorization, and database optimization.
• 3 years+ experience working with ethical considerations in AI and a commitment to developing responsible AI solutions.

$130,000 - $150,000 a year

Benefits for Full Time Employees:

- Remote first organization

- 100% Company paid Health/Dental/Vision benefits for you and your dependents

- Life Insurance, Short-term and Long-term Disability

- 401k

- Unlimited PTO

We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.

Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws.