Machine Learning Engineer

Durlston Partners has partnered with a technology start up based in New York which is in the forefront of introducing ground-breaking advancements in AI, precisely tailored for critical sectors closely woven into our daily lives.

You’d be working on building their core AI that automates their product, developing new features, design improvements to their ML Ops and data infrastructure and research and publish innovative approaches to AI.

You can expect a role with impact from day one, a collaborative environment across the board, and plenty of opportunities for growth and ownership.

The Company:

The company is a Series C start-up powering business conversations. This is a fantastic time to join them, as they have a really strong product that is creating value for customers. Now they are working on expanding opportunities where they can apply their product in other sectors.

Responsibilities:

Developing new features that bring more value to our customers.
Coming up with meaningful enhancements for our ML Ops and data infrastructure.
Suggesting significant improvements to our software architecture and design methods.

Requirements:

Brings at least 2 years of coding experience in Python or another programming language.

Comes with hands-on familiarity with deep learning frameworks like PyTorch or TensorFlow.

Has a solid grasp of the basics in machine learning and statistics, backed by a track record of doing independent quantitative research (whether in academia or industry) or completing projects.

Holds a Bachelor’s or Master’s degree in computer science or a related quantitative field.

Is ready to be present at our NYC headquarters, working with the team around 4-5 days a week.