About this role
This Senior Machine Learning Engineer position at bjakcareer in Zurich suits experienced practitioners who want to independently own production-grade machine learning subsystems for proactive AI applications. The role focuses on developing reliable AI tools that help users manage everyday workflows with minimal prompting.
Role Overview
ACTAI seeks a Senior Member of Technical Staff in Machine Learning to independently manage critical machine learning subsystems in production. This hands-on position involves solving ambiguous problems, designing practical architectures, and shipping scalable systems while operating within real-world constraints such as cost, latency, reliability, and safety.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI develops proactive applications designed to bring intelligence to everyday tasks like communication, organization, and workflows without requiring complex user prompting. The organization focuses on reliability, persistent context, and long-running workflows to reduce model hallucinations and help users reclaim valuable time.
How to Apply
Interested candidates should submit their application directly through the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is located in Zurich, Switzerland.
What technologies and tools are used in this role?
The tech stack includes Python, PyTorch, JAX, and GPU-based training and inference systems.
What is the interview process like?
The evaluation process consists of three to four interviews conducted via virtual meetings or onsite visits, handled by technical team members.
What are the core responsibilities regarding team collaboration?
The role requires collaborating closely with research, product, and engineering teams, as well as mentoring and reviewing work from other machine learning engineers.