About this role
This role suits engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world machine learning. The position is based in Poland at bjakcareer and involves building core machine learning components for production systems.
Role Overview
The Member of Technical Staff, Machine Learning position at bjakcareer in Poland focuses on building core machine learning components. Staff members work on real production systems from day one and learn how large-scale machine learning behaves outside of research settings.
Key Responsibilities
Requirements
Skills and Tools
About the Company
ACTAI builds proactive applications for users globally who are not accustomed to complex prompting, with the mission of bringing intelligence to conversations, errands, organization, and workflows with minimal to no prompting. The company focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion while reducing hallucinations. The team operates as a small, hands-on unit with high talent density that makes decisions collectively and moves at rapid speed.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Member of Technical Staff, Machine Learning role located?
The job is located in Poland.
What technologies and tools are used in this role?
The tech stack includes Python, PyTorch, JAX, and production machine learning systems running on GPUs.
What kind of experience is required for the position?
Candidates need strong foundations in machine learning and modern neural architectures, some hands-on experience training, fine-tuning, or deploying models, and comfort with writing production-quality code.
What does the interview process look like?
The interview process consists of 3 to 4 virtual or onsite interviews conducted by technical team members, with prompt decisions communicated afterward.