Machine Learning Engineer - Customer Solutions

We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.

We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. But we are just at the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond!

We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions.

Your mission will be to ensure our customers receive the most effective AI solutions for their specific needs. You will apply your technical and analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently.

As part of this role, you will:

Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes.

Contribute to the development of our Virtual Agent development platform that scales with our product strategy.

Ensure our AI services maintain high standards of reliability, observability, availability, and performance.

Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future.