
Member of Technical Staff, Machine Learning
About this role
ACTAI is hiring a Member of Technical Staff, Machine Learning in the United Kingdom to build core ML components for proactive, AI-native applications. This position suits engineers who want to learn how large-scale machine learning behaves in production systems and develop strong systems judgment.
Role Overview
ACTAI is seeking a Member of Technical Staff, Machine Learning based in the United Kingdom for a full-time position. The successful candidate will work directly on production systems from the first day, focusing on applications designed to handle long-running workflows and persistent context with minimal prompting. The role involves developing machine learning components while navigating real-world production constraints such as safety, cost, latency, and reliability.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI aims to transform everyday basic applications like email, notes, calendar, and tasks into proactive, AI-native tools that require little to no prompting. The company focuses on persistent context, high reliability for long-running workflows, and real-world task completion to reduce hallucinations and help users organize their lives. ACTAI operates as a hands-on, high-talent team that values collective decision-making, rapid execution, transparency, and efficiency.
How to Apply
Interested candidates should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is located in the United Kingdom.
What technical stack is used in the role?
The tech stack includes Python, PyTorch or JAX, and production machine learning systems running on GPUs.
What is the interview process like?
The interview process consists of three to four interviews total, conducted via virtual meetings and/or onsite sessions.
What is the primary mission of the company?
The company's mission is to build proactive applications for anyone globally that bring intelligence to conversations, workflows, errands, and organizing with minimal to no prompting.