Senior Machine Learning Engineer

Invisible Technologies, ranked #2 on Inc. 5000 in 2024 with $134m revenue, is seeking a Senior Machine Learning Engineer to join their Platform Engineering team. This role focuses on building and scaling backend infrastructure for AI operations, reporting to the Senior Engineering Manager of Evaluations & Finetuning. The position combines deep technical expertise in ML engineering with system architecture, requiring 5+ years of experience in software engineering with emphasis on ML deployment.

The role involves developing robust backend systems for ML operations, managing cloud infrastructure, and collaborating with cross-functional teams to enhance AI capabilities. You'll work with cutting-edge technologies including LLMs, AI Agents, and various cloud platforms (AWS, GCP, Azure). The position requires strong proficiency in Python, experience with Kubernetes, and deep understanding of MLOps practices.

Invisible Technologies serves as the AI training and scaling partner for leading foundation model providers, including AWS, Microsoft, and Cohere. The company combines elite global human expertise with cutting-edge technology to operationalize AI for real-world applications. This role offers the opportunity to work at the forefront of AI technology, contributing to systems that support 80% of the world's leading AI models.

The position offers competitive compensation based on location, with comprehensive benefits and equity for qualified candidates. The company maintains a remote-first culture that emphasizes ownership, innovation, and the ability to thrive in dynamic environments. This is an excellent opportunity for someone passionate about AI technology who wants to make a significant impact in the field of machine learning engineering.