About Bjak

Billions of people still rely on basic applications for daily tasks like email and calendars. These tools are far from intelligent. At Bjak, our mission is changing that reality. We are building proactive applications designed for everyone, eliminating the need for complex prompting. Imagine real intelligence woven into your conversations, errands, and workflows with zero friction. We focus on high reliability for long-running workflows, persistent context, and genuine task completion while aggressively reducing hallucinations. Join our fully remote team and help us give people their time back so they can focus on what truly matters.

Overview

We are searching for a Staff Machine Learning Engineer to own the execution layer of our intelligence systems. In this role, you will bridge the gap between cutting-edge research and reliable production infrastructure. You will manage the entire machine learning lifecycle from data preparation and training to evaluation, inference, and deployment. If you love working at the vibrant intersection of research, scalable systems, and intuitive product design, this hands-on leadership opportunity is tailor-made for you. Best of all, this is a fully remote position welcoming talent from anywhere across the globe.

Key Responsibilities

Own the end-to-end machine learning architecture driving our core platform, covering data pipelines, training routines, evaluation frameworks, and inference engines.
Translate advanced model capabilities into robust, scalable production systems that prioritize high reliability and minimal latency.
Drive continuous improvement across our models to drastically reduce hallucinations and ensure seamless real-world task completion.
Collaborate closely with product and engineering teams to integrate persistent context and proactive intelligence into user workflows.
Lead technical execution while staying hands-on with code, data, and deployment strategies.

Requirements

Strong background in building and scaling production-grade machine learning systems from scratch. Deep expertise spanning the full model lifecycle including data curation, distributed training, rigorous evaluation, and optimized inference. Proven track record of turning complex research concepts into reliable software products used by real people. Passion for building proactive, AI-native applications that simplify human workflows without requiring complicated prompts. Excellent communication skills and the ability to thrive in a distributed, fully remote team environment.

What You'll Gain

The chance to shape the foundational architecture of next-generation proactive applications that will be used worldwide. Complete geographic freedom through a fully remote working model with a talented, forward-thinking global team. Autonomy and ownership over critical machine learning systems where your decisions directly impact product success. Competitive compensation and meaningful opportunities for professional growth as we redefine how people interact with software.