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Member of Technical Staff (EMEA)

CompraTica Empleos

EMP:Technology
London
Tiempo Completo
Remoto
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Descripción

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Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products

Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads.

Today, Fireworks is a Series D company valued at $17.

5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

The Role:As a Member of Technical Staff on the EMEA field team, you build on top of one of the largest inference platforms in the world.

The work spans the stack: capabilities on top of inference and serving, tooling around fine-tuning and post-training of LLMs, and the product our region’s customers need that the core platform team will not take on.

You are first and foremost an excellent software engineer; that is what we are testing for.

You prefer building product to being customer-facing, and that is exactly right for this role, though you are welcome to join customer work when it interests you.

 Treat this as a flexible role: a bucket for exceptional builders at different levels of experience rather than a fixed job spec.

There is no specific seniority requirement; anywhere from 3 to 10 years of experience can fit.

 What we value most is first principles thinking: reasoning about unfamiliar problems from the ground up rather than from playbooks.

You will be evaluated on this directly in the interview process, and strength here can outweigh gaps elsewhere in your background.

Responsabilidades

: Build: Design and ship product capabilities end to end, from ambiguous need to running in production.Build on Inference: Create capabilities on top of the serving stack: routing, model controls, observability, and whatever a deployment turns out to need.Build on...

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