Stuut is an accounts receivable platform focused on helping businesses get paid on time. Backed by top investors including Khosla, Activant, 1984, Carya, and Page One, we are building and engineering company and looking for A+ folks to join the team. We're located in New York, NY, and looking for In-Office candidates.

Role Description

This is a full-time on-site role for a ML Engineer at Stuut. You will be responsible for helping build our platform from the ground up, using pattern recognition, computer science, neural networks, statistics, and algorithms. The role will involve developing, testing, and deploying machine learning models to improve the accounts receivable platform.

Qualifications

Strong background in computer science, statistics, and algorithms
Must be very proficient in Python, there will be a combination of backend work and ML.
Proficiency in pattern recognition and neural networks
Experience in developing and deploying machine learning models
Knowledge of data analysis and visualization
Excellent problem-solving and analytical skills
Ability to work effectively in a team
Good communication skills and ability to explain complex concepts
Experience in the finance industry is a plus
Bachelor's or Master's degree in a relevant field

This job is no longer accepting applications

See open jobs at Stuut.See open jobs similar to "Machine Learning Engineer" Khosla Ventures.

See more open positions at Stuut

Privacy policy Cookie policy