About this role
Senior Machine Learning Engineer at bjakcareer in China is a hands-on position suited for an experienced professional who wants to build proactive artificial intelligence applications for global users. The role involves independently owning critical production machine learning subsystems to organize daily workflows and tasks with minimal prompting.
Role Overview
This position functions as a Senior Member of Technical Staff in Machine Learning. The person in this role takes ambiguous problems, designs practical solutions, and ships systems that operate reliably at scale.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI focuses on building proactive applications for billions of users globally who utilize basic tools like email, notes, tasks, calendar, and workflows without requiring complex prompting. The organization aims to bring intelligence to everyday tasks, reduce hallucinations, maintain persistent context, and achieve high reliability for long-running workflows.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the primary focus of the role?
The role focuses on building core machine learning systems for a proactive, long-horizon artificial intelligence product, owning work end-to-end from data preparation to production inference.
What technical stack is used?
The technology stack includes Python, PyTorch, JAX, and GPU-based training and inference systems.
What are the expectations regarding collaboration and leadership?
The engineer collaborates closely with research, product, and engineering teams while mentoring and reviewing work from other machine learning engineers.
What does the interview process involve?
The interview process consists of three to four interviews evaluated by technical team members, conducted via virtual meetings and/or onsite.