Senior ML Engineer

What you will do:
- Lead the research, development, and production deployment of Hypercritical's foundation model.
- Define the long-term technical strategy for high-performance Machine Learning systems.
- Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth.
- Serve as the technical guardian for the model's quality and Service Level Objectives (SLOs).
- Provide a hands-on solution architecture for the core ML infrastructure.
- Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks).
- Profile and optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment.
- Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough.
- Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps.
- Build internal tooling, benchmarks, and evaluation harnesses that make it easy for the rest of the team to experiment, debug, and ship safely.

Why work with us:
- You’ll make a significant impact, getting in on the ground floor of a company that will alter software development forever.
- You will shape how a never-before-seen foundation model is trained, optimized, and deployed.
- Our level of transparency is unusual. No management jargon, you will get the simple truth, never a lie.

About the Interview:
- No live or take-home coding tasks. 2 interviews max, 1hr (cultural, online) with CEO and 2hr (technical, face-to-face) with CPO.
- Ask anything, full honesty is welcomed. Nothing offends us.