About this role
Based in Singapore, the Senior Machine Learning Engineer position at bjakcareer involves independently owning critical machine learning subsystems in production and suits an experienced practitioner with a background in shipping scalable AI systems. This hands-on role centers on building core machine learning infrastructure for proactive, long-horizon applications.
Role Overview
The Senior Member of Technical Staff position focuses on technical depth and end-to-end ownership of machine learning capabilities. Candidates will handle ambiguous problems, design practical solutions, and deliver reliable systems that operate at scale while navigating production constraints such as cost, latency, reliability, and safety.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Operating under the name ACTAI through bjakcareer, the organization focuses on building proactive applications designed to bring intelligence to daily conversations, errands, organization, and workflows with minimal prompting. The team develops long-running workflows with persistent context and real-world task completion to reduce hallucinations and help users spend time on meaningful tasks. The group operates as a small, hands-on, high-talent-density team making collective decisions at rapid speed.
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 Singapore.
What technical stack is used in this role?
The technical stack includes Python, PyTorch or JAX, and GPU-based training and inference systems.
What is the interview process like?
The interview process consists of three to four total interviews conducted via virtual meetings, onsites, or both, evaluated directly by technical team members.
What are the primary responsibilities regarding mentorship?
The role requires mentoring and reviewing work from other machine learning engineers by setting an example and applying technical judgment.