About this role
Based in Ireland, the Senior Machine Learning Engineer role at bjakcareer involves independently owning critical machine learning subsystems in production to build proactive applications. This position suits an experienced practitioner who excels at solving ambiguous problems and shipping reliable systems at scale.
Role Overview
The Senior Machine Learning Engineer acts as an independent owner of key machine learning subsystems for a proactive artificial intelligence product. The position centers on transforming research concepts into practical production systems while navigating constraints related to latency, cost, reliability, and safety.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Operating in Ireland, the organization builds proactive applications for users worldwide to bring intelligence to conversations, daily errands, organization, and workflows with minimal prompting. The product strategy focuses on high reliability for long-running workflows, persistent context, and real-world task completion to minimize hallucinations.
How to Apply
Interested candidates should submit their applications directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the primary focus of the Senior Machine Learning Engineer?
The engineer focuses on building core machine learning systems for a proactive artificial intelligence product, managing the complete lifecycle from data preparation to inference and production deployment.
Where is the position located?
The position is located in Ireland.
What technical skills and tools are required?
The tech stack includes Python, PyTorch, JAX, and GPU-based training and inference systems.
What does the interview process look like?
The interview process consists of 3 to 4 total interviews conducted via virtual meetings and/or onsite sessions, evaluated by technical team members.
What production constraints must the engineer manage?
The engineer must account for latency, cost, reliability, and safety constraints during system development and deployment.
