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ML Research Scientist - Member of Technical Staff

Callosum
Germany
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Role Summary

Join Callosum as an ML Research Scientist in London, where you'll drive groundbreaking AI research and infrastructure development.

About the Organisation

We’re living through a Cambrian explosion of intelligence: new models and new chips, each specialised for different tasks, are arriving all at once. The result is a new era for AI, one of radical heterogeneity.

Callosum is the Intelligent Systems Company. We believe the next generation of AI won't be defined by any single model or chip, but by intelligent systems in which hardware and intelligence co-evolve. We are building the infrastructure that unifies heterogeneous compute across the full stack. This opens a new axis of scaling intelligence: a dynamic system that tailors itself to what each workload actually needs, whether that's speed, cost, precision, or whatever unit comes next.

The last era scaled on a different bet: one bigger model, more of the same chip, more data. That bet is running into structural limits. Frontier models offer extraordinary capability at unsustainable cost, one that today's monolithic infrastructure was never designed to serve.

Our founding principle is that intelligence comes from many specialised systems working together, not from any single component. We build the software orchestration layer that co-evolves models, workflows and silicon into one system, delivering inference tailored to every workload, and demonstrating orders-of-magnitude leaps in capability and cost.

Because our software spans the full stack, our engineering team works directly with heterogeneous accelerators and frontier silicon, including Cerebras, d-Matrix, Intel, NVIDIA, AMD, Normal Computing, Tenstorrent, GreatSky, and Mixx. We are not stopping at today's chips: each new generation of silicon unlocks algorithms that couldn't run before, and we intend to be first to them, every time. If we get it right, it will belong to everyone building on it - not to any single vendor.

In our latest funding round, we raised $100M, led by Atomico with participation from Plural, DCVC and the UK Sovereign AI Fund’s first investment. With this, we are building the infrastructure for the next era of intelligence.

We are engineers and scientists based in London, working across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you.

Callosum is building a new AI research lab focused on developing the foundations for more capable, efficient, and reliable intelligent systems. We are looking for Research Scientists who can identify fundamental questions, originate new approaches, and turn ambitious ideas into clear empirical results. Our work spans model architectures, learning algorithms, data, reasoning and agents, multimodal systems, evaluation, and efficient training.

Sitting at the heart of our technical mission, this position owns research end to end: from selecting important problems and forming hypotheses to implementing methods, running experiments, and communicating what we learn. You will work with a small, highly technical team and frontier-scale infrastructure, with the autonomy to shape both your research agenda and the lab's broader direction.

Minimum Requirements

  • A PhD or equivalent record of exceptional research and technical achievement, demonstrated through influential publications, spotlights at top-tier conferences, widely used systems or open-source work, or other significant contributions
  • Deep expertise in at least one relevant area of machine learning, together with strong mathematical and experimental fundamentals
  • Strong hands-on implementation skills in Python and modern ML frameworks such as PyTorch, with the ability to debug models, experiments, and systems from first principles
  • The ability to independently own an ambiguous, long-running research agenda while collaborating closely, communicating precisely, and updating quickly from evidence

Working Conditions

We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.

Compensation: £101K – £192K • Offers Equity

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  • Competitive Salary, determined by skills and experience
  • Equity & Ownership
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  • We offer Visa sponsorship and relocation benefits to hire the best in the world
  • We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us
  • • £101K – £192K • Offers Equity

Eligibility Criteria

Open to applicants with ML research experience; specifics on international applications are unclear.

Exp. LevelNot specified
EducationNot specified

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Published On
August 20, 2026
Application Deadline
Ongoing / No specific deadline
Location
London
Employment Type
Full Time • On-site
Source
Arbeitnow
Last verified: August 25, 2026
Degree Level
Any
Visa Sponsorship
Visa Sponsorship Likely
Africa Eligibility
International — African Eligibility Unclear
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