Technical Lead, Machine Learning
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 52d ago
The date the source published, not the day we noticed it (2026-07-24). Last seen at its source just now.
Is it remote?
Remote Europe, Europe (remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Europe, Singapore, Philippines, Indonesia, Thailand
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen just now
- posted 2026-09-09
The listing
Founding AI Engineering Team | Remote | Cash + Equity
About the company
We`re partnering with ActAI, a new AI venture incubated by BJAK—one of Southeast Asia's largest and profitable technology companies. Backed by an initial $100M investment, ActAI is building the next generation of AI-native productivity applications.
The first product reimagines email using autonomous AI agents that can understand context, reason through multi-step tasks, and complete work on behalf of users while keeping them in control.
This is an opportunity to join the founding engineering team before product launch and help shape both the platform and the engineering culture.
The role
We're looking for a Technical Lead, Machine Learning to turn cutting-edge AI research into reliable production systems.
This isn't a research role. You'll own the infrastructure and execution layer that makes large language models trainable, deployable, observable and scalable in production.
You'll work across model fine-tuning, inference, evaluation, data pipelines and GPU infrastructure while partnering closely with product and backend engineers.
What you'll work on
Design and scale production ML systems for LLM-based applications.
Build training and evaluation pipelines for continuous model improvement.
Fine-tune foundation models using modern adaptation techniques such as LoRA, QLoRA, SFT and DPO.
Optimize inference performance, latency and GPU utilization.
Develop high-quality training datasets and evaluation frameworks.
Own deployment, monitoring and reliability of ML services in production.
Help define engineering standards while mentoring a small, high-calibre ML team.
What we're looking for
Experience building and shipping production ML systems used by real users.
Strong Python and PyTorch (or JAX) experience.
Hands-on experience with LLM fine-tuning and inference optimization.
Deep understanding of ML infrastructure, distributed training or GPU-based systems.
Strong engineering mindset with a focus on scalability, reliability and code quality.
Comfortable taking ownership in a fast-moving startup environment.
Why join ActAI?
Founding engineering role with significant technical ownership.
Opportunity to influence product architecture from the ground up.
Backed by $100M while operating with the speed of a startup.
Small, high-talent engineering team focused on solving challenging AI infrastructure problems.
Competitive cash compensation plus equity.
Remote-first environment with long-term growth opportunities.