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- Tasks: Build groundbreaking AI models for manufacturing and tackle real-world challenges.
- Company: Join Matta, a dynamic team creating industrial AI with a vibrant startup culture.
- Benefits: Competitive pay, friendly team, stimulating environment, and opportunities for growth.
- Other info: Located in London, just 5 minutes from Old Street Station.
- Why this job: Make a real impact on the future of manufacturing with cutting-edge technology.
- Qualifications: Experience in machine learning, coding skills, and a passion for teamwork.
The predicted salary is between 36000 - 60000 £ per year.
This job is for you if you enjoy:
- the incredibly exciting 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
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.
- Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours!
- 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.
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!
ML Engineer @ Matta
We’re looking for an ML Engineer 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.
- All of this needs to work in real-time and run on low compute systems.
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 mage: You write clean, scalable, high-performance deep learning code. Proficiency in PyTorch, Tensorflow, Jax, or equivalent is a must (ideally PyTorch).
- Knowledge on some of the latest good stuff from transformers to VLMs and NERFs.
- Happy to get down and dirty with cleaning our own in-house datasets and building custom dataloaders, dataset classes, preprocessing functions etc.
- An understanding of classic signal processing approaches and computer vision techniques is super helpful.
- You’ve led projects or research from start to finish, overcoming hurdles to create AI for products or high-impact publications.
- People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback.
- You’re adaptable and thrive in dynamic environments where every day brings new challenges.
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.
What will impress us
- Being proactive. Building or sending us example AI or data related projects.
- Clear passion in our mission, not a random 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.
Location: Our London office, 5 minutes from Old Street Station.
How to apply: To apply, please send us your CV and covering letter to careers@matta.ai or use Linkedin.
Machine Learning Engineer employer: MATTA
Contact Detail:
MATTA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Matta. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your machine learning prowess. Whether it's a cool AI model or a data cleaning project, having something tangible to share can really impress us.
✨Tip Number 3
Be proactive! If you’ve got ideas on how to tackle challenges in manufacturing AI, don’t hesitate to share them. Send us a message or even a video explaining your thoughts. We love seeing candidates take initiative!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love rebels who find creative ways to apply, so don’t be shy about showing your personality!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for the role! In your application, share why you're excited about building AI for manufacturing and how you can contribute to our mission. A genuine passion can really make you stand out.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the job description. We want to see your machine learning projects, especially those that showcase your ability to tackle messy datasets and work in dynamic environments.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Use it to explain how your background aligns with our needs and what unique perspectives you bring to the table. Keep it engaging and personal!
Apply Through Our Website: While you can send your application via email or LinkedIn, we encourage you to apply through our website. It helps us keep track of applications better and ensures you don’t miss any important updates from us!
How to prepare for a job interview at MATTA
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in PyTorch and TensorFlow. Be ready to discuss your past projects and how you've tackled messy datasets. They’ll want to see that you can not only code but also understand the underlying principles of the models you're working with.
✨Show Your Passion
Express genuine enthusiasm for Matta's mission to revolutionise manufacturing with AI. Share any personal projects or experiences that align with their goals. If you've built something cool or have a unique hobby that showcases your creativity, don’t hesitate to bring it up!
✨Be a Team Player
Since collaboration is key at Matta, be prepared to talk about your experiences working in teams. Highlight instances where you’ve mentored others or embraced feedback. They’re looking for someone who thrives in a dynamic environment, so share how you adapt to new challenges.
✨Ask Smart Questions
Prepare thoughtful questions about their current projects or future goals. This shows that you’re not just interested in the role but also in how you can contribute to their vision. It’s a great way to demonstrate your critical thinking skills and genuine interest in the company.