Remote Machine Learning Engineer - Customer Solutions

Description:

• The company is a rapidly growing startup that develops solutions combining human expertise and AI agents to manage customer and marketplace operations tasks.
• Their technology aims to solve real-world challenges in trust and safety without complex technical integration.
• The company has raised about $25M in VC funding and analyzes millions of daily images and videos.
• The role of Machine Learning Engineer involves building and delivering innovative AI products to customers.
• The engineer will transform manual processes into AI automated solutions and ensure customers receive effective AI solutions tailored to their needs.
• Responsibilities include collaborating with customers to understand workflows, designing and building Virtual Agents, contributing to the development of the Virtual Agent platform, maintaining high standards for AI services, participating in the machine learning community, taking ownership of customer outcomes, and contributing to full-stack development.

Requirements:

• Candidates must have strong Python and Machine Learning Engineering skills, with experience in applying AI to solve customer problems.
• A willingness to learn how to develop agentic AI systems that automate human processes is required.
• Understanding of software deployment through Kubernetes and the capability to deploy some infrastructure elements independently is necessary.
• Problem-solving and project management skills are essential for analyzing workflows and designing automated solutions.
• Candidates should thrive in a collaborative environment where team achievements are prioritized over individual input.
• Willingness to travel to company-wide offsites three times per year is required.

Benefits:

• The company offers flexible hours and location for employees.
• A competitive salary and equity package is provided.
• An occupational pension plan is included in the benefits.
• Generous paid parental leave and sick leave are offered.
• There is an annual budget for professional development and growth.
• An annual budget for individual health and wellness is also included.
• Employees can participate in three team offsites to London or other exciting destinations in Europe.