Senior ML Engineer

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• Expertise in designing, architecting, and implementing large-scale foundation models
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• Significant hands‑on experience optimising and debugging deep learning models
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• Practical experience with distributed or large-scale training and inference
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• Deep understanding of at least one major deep learning framework (ideally PyTorch)
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• Experience building and operating ML systems on cloud platforms
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• Passion and determination
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• Able to grind through complicated and ambiguous problems
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• Delivery-oriented; respects timelines and commitments
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• Openness to disagreement
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• Onsite work in London preferred - remote work with visits in office once a month acceptable
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What you will do:\n

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

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

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

An AI/ML tech start-up, developing a novel foundation model, with a singular vision: to achieve fully automated, unsupervised software delivery in embedded control systems. We are based in West London - backed by venture capital, and looking to scale our team.

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