About this role
This role suits an experienced engineer who wants to own the execution layer of artificial intelligence systems and build proactive applications in the United States. The Staff Machine Learning Engineer position at bjakcareer involves turning research and model capabilities into reliable, scalable production systems.
Role Overview
The Staff Machine Learning Engineer position at bjakcareer focuses on creating proactive applications for users worldwide with minimal prompting. Located in the United States, this role requires handling the complete lifecycle of machine learning systems, from data ingestion to model deployment and inference.
Key Responsibilities
Requirements
Skills and Tools
About the Company
bjakcareer builds proactive applications designed for billions of users who are not accustomed to complex prompting, aiming to bring intelligence to everyday workflows, conversations, and tasks. The company operates as a small, hands-on team with high talent density where engineers maintain broad ownership, make fast decisions, and work independently.
How to Apply
Interested candidates should visit the official bjakcareer careers page to submit an application.
Skills and tech stack
Questions candidates ask
What location is the Staff Machine Learning Engineer role based in?
The position is located in the United States.
What technologies are used in the tech stack?
The tech stack includes Python, PyTorch, JAX, and GPU-based training and inference systems.
How many interview rounds can candidates expect?
Candidates will go through three to four interviews.
What is the primary focus of the engineering work?
The work focuses on building proactive applications, establishing reliable production infrastructure, and turning model capabilities into scalable production systems.