Machine Learning Engineer

Decagon; United States; Remote; USD 80,000 - 150,000; Full time

Job summary

An innovative company is seeking a Machine Learning Research Engineer to enhance its conversational AI platform. In this pivotal role, you'll evaluate and deploy large language models, ensuring they deliver high-quality support autonomously. The ideal candidate will have over four years of experience in AI/ML, a strong coding background, and a passion for building intelligent systems. Join a team that values exceptional talent and offers the opportunity to work on cutting-edge technology that shapes the future of AI.

Qualifications

• 4+ years of experience in AI/ML engineering or research.
• Proven track record of working on AI/ML projects from concept to production.

Responsibilities

• Evaluate, fine-tune, and deploy large language models for AI agents.
• Build intelligent systems that learn from interactions and follow complex instructions.

Skills

Machine Learning

AI Engineering

Programming

Large Language Models (LLMs)

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in AI/ML

Job description

About the Role:

We’re looking for a Machine Learning Research Engineer to join our team and help build out our enterprise-grade conversational AI platform. As a Research Engineer, you will evaluate, fine-tune, and deploy large language models that power the intelligence behind our AI agents. You’ll play a key role in building intelligent systems that learn from interactions, follow complex instructions, and deliver high-quality support autonomously.

Qualifications:

• We are looking to hire exceptional people with strong technical skills. Candidates should have a track record of outstanding work at their previous companies, attend top schools, or have achieved notable accomplishments such as national olympiad awards.

• 4+ years of experience in AI/ML engineering or research.

• Proven experience working on AI/ML projects from concept to deployment.

• Experience fine-tuning and deploying LLMs in production environments.

• Strong coding skills with the ability to write high-quality, efficient code.