AI Scientist

MATTA; Cambridge; On-site; GBP 40,000 - 80,000; Full time

Job summary

Join a pioneering company dedicated to transforming manufacturing through AI! As an AI Scientist, you'll leverage your expertise in deep learning to develop innovative foundational models tailored for the manufacturing sector. This role promises exciting challenges, from enhancing data efficiency to inventing new capabilities that operate in real-time on low compute systems. Work alongside a talented team of engineers and scientists in a dynamic environment that values creativity and collaboration. If you're passionate about shaping the future of manufacturing with cutting-edge technology, this is the opportunity for you!

Benefits

Competitive compensation

Friendly team environment

Opportunity for growth

Dynamic work environment

Qualifications

• Expertise in machine learning with proficiency in deep learning frameworks.
• Experience in dataset cleaning and custom data loaders.

Responsibilities

• Develop AI models for manufacturing processes and real-time applications.
• Collaborate with a team to tackle complex challenges in AI.

Skills

Deep Learning

PyTorch

TensorFlow

Jax

Data Cleaning

Signal Processing

Computer Vision

Project Leadership

Team Collaboration

Job description

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 AI models that understand the physics of manufacturing processes.
• Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours.
• Build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI.

We’re looking for an AI Scientist to join us in creating a brand-new class of foundation models designed specifically for manufacturing. You’ll get to tackle exciting challenges like:

• Inventing new capabilities, such as building models that understand causality.
• Boosting data efficiency and robustness to achieve top-notch accuracy with minimal data.

Oh, and here’s the kicker: all of this needs to work in real-time and run on low compute systems. To give you an idea of the variety you’ll be diving into, one day you might be monitoring beer bottles, and the next, solving challenges with aerospace components.

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.

About you

• A machine learning expert: You write clean, scalable, high-performance deep learning code. Proficiency in PyTorch, Tensorflow, Jax, or equivalent is a must.
• Knowledge of the latest advancements in machine learning.
• Experience in cleaning datasets and building custom data loaders.
• An understanding of classic signal processing approaches and computer vision techniques.
• You’ve led projects or research from start to finish, creating AI for products or high-impact publications.
• People person: you love working in teams, sharing knowledge, and embracing feedback.
• You’re adaptable and thrive in dynamic environments.

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

• Capable of setting and reaching ambitious goals.
• Self-directed, proactive, and comfortable in a dynamic, multi-disciplinary work environment.
• Team players with excellent communication and interpersonal skills.

What will impress us

• Being proactive. Building or sending us example AI or data-related projects.
• Clear passion in our mission.

Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, a friendly team, and the opportunity to be a part of something massive.

Location

Our London office, 5 minutes from Old Street Station.

How to apply

To apply, please send us your CV and covering letter to [e-mail] or use LinkedIn.