Senior / Staff AI Engineer

Nscale · AI/ML

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WorldwideFull TimePosted Sep 13, 2026

Source: Arbeitnow

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Worldwide

No hybrid days in this listing.

You can apply from Hungary

Checked for remote eligibility. This role is open to applicants based in Hungary.

Category
AI/ML
Employment type
Full Time
Experience level
Senior

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Pay, compared

76 of 304 AI/ML roles publish a salary

Typical AI/ML role$206,500 / year

Median of published salaries. Full reported spread in this market: $15,000–$351,000, outliers included.

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Original employer: NscaleSource ATS: ArbeitnowJob status: Active

Nscale is seeking Senior or Staff AI Engineers to design and optimize scalable distributed systems for their GenAI cloud platform, working fully remote worldwide.

In this role, you will tackle high-performance engineering challenges, focusing on inference optimization, large-scale training, or evaluation frameworks. You will collaborate with research and product teams to build robust developer-facing APIs and infrastructure that power modern AI workloads.

Why You’ll Love This Role

Senior or Staff level
Focus on GenAI cloud platform
Worldwide remote
High-performance engineering focus
Deep specialization in AI systems

What You’ll Bring

5+ Years of experience building production systems in ML or distributed systems
4+ Years of hands-on experience in inference optimisation, large-scale training, or post-training
Proven ability to design and operate systems at scale
Deep understanding of transformer architectures and LLMs
Strong proficiency in Python and PyTorch
Experience with distributed compute paradigms and hardware/software boundary optimization

What You’ll Get

Benefits not specified in the listing

About the Company

Nscale is a vertically integrated GenAI cloud platform provider that builds and operates its own data centers and software stack. The company emphasizes a culture of ownership, transparency, and innovation in the competitive hyperscaler landscape.

Listing checked for remote eligibility · Posted Sep 13, 2026 · ArbeitnowApply
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