Staff Machine Learning Engineer - Remote

Overview

This position is posted by Jobgether on behalf of primer.ai. We are currently looking for a Staff Machine Learning Engineer in United States.

As a Staff Machine Learning Engineer, you will take ownership of building and scaling advanced AI-driven products from research to production. You will design distributed architectures, work with massive datasets, and leverage state-of-the-art machine learning models, including NLP and LLM-based systems. Partnering closely with cross-functional teams, you will mentor engineers, contribute to the technology roadmap, and drive best practices across the organization. Your work will directly influence the development of tools that empower humans with artificial intelligence in high-stakes environments. This role combines technical depth, leadership, and a strong customer-focused mindset to deliver scalable, impactful solutions.

In Short

• Design, develop, and deploy distributed machine learning systems and libraries with company-wide impact.
• Build, integrate, and maintain pipelines for processing large-scale datasets, including NLP tasks such as summarization, relation extraction, entity recognition, and classification.
• Partner with product managers and engineers to shape AI product direction and technical strategy.
• Troubleshoot and resolve complex issues, ensuring high-quality, reliable systems.
• Mentor and coach engineers, promoting best practices, robust design patterns, and a culture of technical excellence.
• Continuously evaluate and adopt new technologies and methods to enhance AI capabilities and team skill sets.

Requirements

• Strong experience in machine learning and AI technologies.
• Proficiency in NLP techniques and models.
• Experience with distributed systems and architectures.
• Ability to mentor and lead engineering teams.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Competitive compensation and benefits package.