TL;DR This job is for you if you enjoy:

• the mad task of building the first foundational models for manufacturing
• working at the crossover of software and hardware (we are truly full stack and often are in factories)
• dealing with horrible messy real-world datasets and being high IQ to achieve SOTA performance whilst adhering to severe computational constraints
• delivering real impact on how we manufacture the world around us

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About Matta

Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow.

What we actually do:

• Build insane AI models that understand the physics of manufacturing processes (think futuristic shit like machines that watch and correct themselves on the fly whilst making a part or even learn how to make things out of new materials by themselves).
• Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months).
• Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI.

For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends – come join the family!

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AI Scientist @ Matta

We’re looking for an AI Scientist to help research and develop a new class of foundation models specifically for manufacturing. This includes working on 1) new capabilities (one example is causality, e.g. predicting and explaining why something has happened and making suggestions for how to fix it -> this part looks wrong here, probably because the temperature was too high by X, reduce it in this location to solve) and 2) how to improve the data efficiency and robustness of our models. We need to achieve high accuracy with very few samples and transfer experiences from other previous manufacturing contexts onto new setups. All of this has to be done with models that can run in real-time and that use relatively low compute (factories do not have H100 clusters). For additional context the kind of problems you will be solving will range from monitoring beer bottles to aerospace components... properly diverse!

This isn’t your typical gig—expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world.

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About you

• A machine learning mage: You write clean, scalable, high-performance deep learning code. You take pride in your craft. Proficiency in PyTorch, Tensorflow, Jax, or equivalent is a must (ideally PyTorch).
• Knowledge on all the latest good stuff from transformers to VLMs and NERFs.
• Happy to get down and dirty with cleaning our own in-house datasets (no nice benchmarks here) and building custom dataloaders, dataset classes, preprocessing functions etc.
• An understanding. of classic signal processing approaches and computer vision techniques (e.g. fourier, convolutions, cross-correlations, Bhattacharya distance).
• You’ve led projects or research from start to finish, overcoming hurdles to create AI for products or high-impact publications (in startups? even better) plus you are a bit batty and want to push yourself more!
• People person: you love dynamic teams, sharing knowledge, mentoring/teaching others, and embracing feedback (plus you join our big Lego building sessions)
• You are hyper adaptable – ship fast, learn faster and are unfazed by a little chaos.

Above all, we are looking to build a team of creative, outside-of-the-box thinking problem solvers. For this, candidates should be:

• Capable of setting and reaching ambitious goals, and taking a project from concept to completion.
• Self-directed, self-organised, proactive, and comfortable in a dynamic, multi-disciplinary work environment.
• Team players with excellent communication and interpersonal skills.
• Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria).

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What will impress us

• Being proactive. Building or sending us example AI or data related projects – even better if related to the role.
• Proof that you take things to an extreme level. Are you a chess GM, world-champion at tiddlywinks, or badass musician playing any instrument.
• Clear passion in our mission, not some bullshit made-up reason to work with us.

Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive.

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Location

Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus.

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How to apply

To apply, please send us your CV and covering letter to careers@matta.ai or use Linkedin. Or if you are a little bit of a rebel (we like rebels) find some other way to apply.