Machine Learning Engineer

Arthur is at the forefront of making AI technology more understandable, effective, and fair through innovative solutions in performance monitoring, explainability, and bias detection. As a Machine Learning Engineer at Arthur, you'll join a team deeply committed to shaping the future of AI and its real-world impact.

The role offers a unique opportunity to work on cutting-edge ML and LLM technologies, focusing on model performance, security, and robustness. You'll be responsible for developing new techniques in ML model monitoring, including data drift detection and high-dimensional density estimation. The position involves running machine learning experiments, collaborating with product teams, and communicating results to both internal stakeholders and the broader ML community.

Working in a hybrid environment from their NYC office, you'll be part of a team that values curiosity, hard work, and creative problem-solving. The company offers competitive compensation ($160,000 - $230,000), comprehensive benefits, and equity backed by respected VCs. You'll have autonomy to pursue your interests with room for growth, supported by a collaborative team environment.

The ideal candidate brings 2+ years of professional experience in software engineering with strong ML support, expertise in production-grade Python, and familiarity with ML frameworks. You should have experience deploying ML models to production and a deep interest in LLMs and multimodal generative models. Arthur offers a caring culture that prioritizes work-life balance, professional development, and making a positive impact through AI technology.

This role is perfect for someone who wants to be at the intersection of innovative AI technology and practical enterprise solutions, working on problems that matter while being part of a supportive and growth-oriented team.