At Arthur, we are building the first platform for Responsible AI. We work with leaders in finance, healthcare, 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'll help build capabilities such as:

• Detecting and mitigating issues of fairness and bias in ML algorithms
• Data drift detection, high-dimensional density estimation, time series anomaly detection
• Large-scale explainability methods for tabular, image, text, and video data

You might have a few of the following:

• 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
• Experience with the usual suspects: Python, Scala, or R; 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
• Experience with public cloud (AWS, GCP, Azure)
• Experience in a product-drive data science role

You'll probably like working with us if you:

• Enjoy elevating your colleagues and succeeding together 
• Take pride in sharing your knowledge with others
• Prefer to push yourself outside of your intellectual comfort zone
• Like costume parties

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