Lead Engineer, Machine Learning
Role Summary
Join Bjak as a Lead Engineer, Machine Learning, to transform research into reliable ML systems. Leadership role with scope for innovation and product impact.
About the Organisation
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations
Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things
As Lead Engineer, Machine Learning, you own the execution layer of our intelligence, turning research and model capabilities into reliable, scalable production systems.
You will work across the model lifecycle: data, training, evaluation, inference, and deployment. This is a hands-on leadership role for someone who wants to operate at the intersection of research, systems, and product.
Minimum Requirements
- Experience building and shipping ML systems used in production, not just research prototypes.
- Strong understanding of modern large-model training, fine-tuning, evaluation, and inference.
- Strong software engineering and systems fundamentals.
- Experience operating ML workloads at meaningful scale, particularly GPU-based systems.
- Strong technical judgment and the ability to navigate ambiguous problems independently.
- A bias toward experimentation, measurement, and shipping.
- High standards for correctness, reliability, and production quality.
Eligibility Criteria
The job description lacks clarity on eligibility for international applicants, including those from Africa.
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