Senior Machine Learning Engineer

Machine Learning Engineer

At Arthur, we are building the first platform for Responsible AI.  We work with leaders in finance, self-driving transportation, and other leading AI industries. We are backed by the best investors in enterprise software and are growing our team led by industry veterans with deep expertise in ML.   We are looking for Machine Learning Engineers to join our diverse and collaborative team!

As a Machine Learning Engineer at Arthur, you will build capabilities for:

• High-dimensional density estimation, data drift detection, and time series anomaly detection

• Large-scale Explainability methods for tabular, image, text, and video data

• Detecting and mitigating issues of Fairness and Bias in ML algorithms


You might have:

• A Masters or PhD in a quantitative field


• At least two years of professional experience in a data science or ML role


• Mastery of statistical methods and contemporary ML algorithms


• At least two years of experience with Python, Scala, Java, or R with emphasis on common ML ecosystem components including two years of experience with Tensorflow, PyTorch, or other DL frameworks.


• Experience deploying ML models to production and thinking deeply about model risk management.


• Software engineering best practices, version control, containerization


• ML publications, technical blogging, and/or open source projects


You might also have:

• Experience with public cloud (AWS, GCP, Azure)

• Experience in a product-driven data science role


We offer

• Working with a fast-growing and passionate team, lots of opportunity to take ownership with projects and shape our product roadmap

• The opportunity to get in on the ground floor of a rapidly growing startup

• Generous equity and a full benefits package

• A culture that empowers great people to accomplish great things

• Flexibility to work out of our NYC or DC offices