Overview

Think about all the basic apps we use every single day for email, notes, and simple tasks. Most of them still feel shockingly unintelligent. At Bjak, we are changing that reality. Our team is building a proactive smart assistant designed to bring real intelligence to daily conversations, errands, and complex workflows with minimal prompting. We want to cut down the time people spend on chores by ninety percent while making the whole experience genuinely enjoyable. If you love wrestling with hard machine learning problems and want to build AI that actually helps humans in the real world, this fully remote, worldwide opportunity is for you.

Key Responsibilities

Build and scale the core machine learning systems that power a proactive, long-horizon AI product.
Take full ownership of critical ML subsystems from data preparation and training to evaluation, inference, and iteration.
Transform cutting-edge research ideas into robust working systems that operate reliably in production environments.
Design practical solutions for ambiguous problems involving multi-step reasoning and tool integration.

Requirements

Extensive hands-on experience as a machine learning engineer building production-grade systems.
Deep expertise in managing the full ML lifecycle including data pipelines, model training, and serving.
Strong background in handling non-deterministic model behavior and ensuring reliability for long-running workflows.
Ability to work independently in a remote setup, taking unstructured problems and driving them to completion.

What You'll Gain

The chance to shape the future of AI-native applications that impact millions of users globally.
Complete ownership over critical technical subsystems with zero micro-management.
A collaborative, globally distributed team environment that values practical execution and deep technical depth.