Senior ML Engineer - Foundation Model Development

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Senior ML Engineer — Foundation model development. Brazil (remote). Visa sponsorship available for UK relocation.

A VC-backed AI/ML startup is building a novel foundation model aimed at fully automated, unsupervised software delivery in embedded control systems. They’re hiring a Senior ML Engineer to lead research, development, and production deployment of the model — owning technical strategy and ML performance end-to-end.

CUDA proficiency is essential. You’ll be designing and implementing GPU-accelerated components including custom CUDA kernels. If you don’t have deep, hands-on CUDA experience, this isn’t the right fit.

What You’ll Do

→ Lead research, development, and production deployment of the foundation model

→ Define long-term technical strategy for high-performance ML systems

→ Optimise the model for peak performance across diverse hardware

→ Design and implement GPU-accelerated components, including custom CUDA kernels

→ Profile and optimise the end-to-end ML stack: data pipelines, training loops, inference serving

→ Work closely with founders to translate product requirements into technical roadmaps

→ Build internal tooling, benchmarks, and evaluation harnesses

What We’re Looking For

→ Deep, hands-on CUDA C/C++ proficiency — hard requirement

→ Expertise in designing and implementing large-scale foundation models

→ In-depth knowledge of recent architectures (MoE, state-space models)

→ Practical experience with distributed or large-scale training and inference

→ Deep understanding of PyTorch (or equivalent)

→ Experience building and operating ML systems on cloud platforms

→ Delivery-oriented, grinds through ambiguity, open to disagreement

→ Based in Brazil — fully remote; UK relocation supported with visa sponsorship for the right candidate

Interview process: No live or take-home coding tasks. Max 2 interviews: 1hr cultural (online) with CEO + 2hr technical (face-to-face) with CPO.

Compensation: Competitive salary + share options

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