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Staff Machine Learning Engineer (Remote - US) at Jobgether. 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.. Accountabilities:. The role blends hands-on engineering, strategic influence, and mentorship:. . 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.. . The ideal candidate combines deep ML expertise, backend engineering experience, and leadership skills:. . BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience.. . 10+ years as a backend software engineer integrating and deploying ML-driven functionality.. . Mastery of data structures and algorithms with practical application in scalable systems.. . Experience with machine learning frameworks and tools (e.g., NumPy, PyTorch, TensorFlow); experience with LLMs and NLP is a strong plus.. . Proficiency in authoring APIs in Python or Golang.. . Proven ability to mentor and guide engineers across technical and product domains.. . Strong curiosity, enthusiasm, and commitment to continuous learning and teaching.. . Eligible to work from San Francisco, CA, Pasadena, CA, or Washington, DC.. . Company Location: United States.