Primer - San Francisco, CA
posted 3 months ago
Primer exists to make the world a safer place by providing trusted decision-ready AI to the world's most critical organizations. As a Machine Learning Engineer, you will take the lead on building and improving our data-driven products, overseeing the entire process from research to production. You will leverage your deep experience with data science tools, including algorithms, embeddings, language models, and prompt engineering. Your role will involve rapid prototyping as well as scaling solutions for production, drawing on your previous experience with distributed systems. You will be engaged in continuous learning and mentoring, enhancing Primer's capabilities across the technology stack and introducing new technologies and methodologies to the team. In this position, your technical skills will be complemented by a strong product sense and empathy for customers. You will collaborate with cross-functional teams, including product managers, engineers, and other technical leaders, to tackle the challenge of empowering humans with artificial intelligence tools. You will understand the landscape of Natural Language Processing (NLP) problems and help make strategic investments that ensure Primer's capability and leadership in this space. Your responsibilities will include designing and developing distributed architectures, libraries, and systems that have a company-wide impact, working with massive datasets, and integrating features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP, and knowledge base generation. You will also be responsible for triaging issues, debugging, and resolving operational and quality-related problems, while promoting engineering best practices and motivating other engineers to uphold high standards.