Company Description
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
