Come along for the ride

We’re looking for exceptional individuals to become part of our team and help build amazing things with the next generation of robots and machines.

All about us

The values important to us

Slamcore is all about attracting, retaining and rewarding the best talent. Our team is integral to who we are and the success we’ve achieved. Here are some of the values we hold dear to us and look for in our applicants.

Collaboration without limits.

It’s all about teamwork here. Truly. We get stuck into challenges, we help one another out, we all pull in the same direction… and amazing things happen.

Positive innovation through curiosity.

We’re into doing good and having a positive impact on the world. That means we like people who are curious about the world and eager to solve problems. After all, problem-solving is at the very core of our company.

Authentically eclectic.

We value having a team of diverse experiences and perspectives. So you can be yourself and work in the way that suits you best. (We also take work/life balance seriously.)

 

All of our live vacancies are listed below. If you don’t see a role that’s right for you, but are passionate about robotics and software, email us your CV at careers@slamcore.com.

Current vacancies

Machine Learning Engineer
Engineering London, England
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Apply now!

We’re looking for a world class Machine Learning Engineer who will support the Head of AI with deepening AI features in our product, to both strengthen the core positioning and mapping technology, and provide new features for our customers.

  • A chance to work in a fascinating industry. Other companies say they’re cutting edge; we’re literally at the forefront of spatial intelligence.
  • Packed with benefits and perks, including hybrid working, enhanced employer pension contributions, unlimited external private coaching, frequent social events, cash to spend on your home setup, and more.
  • Become an essential part of embedding advanced AI technology into our industry leading SLAM algorithms.

The top line

We’re all about using AI to make industrial robots and vehicles smarter and more efficient.

If you have a knack for designing and developing deep learning algorithms, and you’re excited about real-time performance and optimal accuracy, this could be your perfect gig.

We’re looking for someone with a strong background in mathematics or computer science, who loves creating, deploying and refining models that work 24/7 on embedded platforms in industrial environments. Bonus points if you have experience in robotics or computer vision! You’ll get to play with cutting-edge technology, keep up with the latest in AI, and make a real impact in the industry.

So, if you’re passionate about machine learning and eager to join a dynamic and friendly team, we’d love to hear from you!

The good stuff

  • Ideally, you’ll live within commuting distance of our London HQ, but we get that remote working – on an occasional or permanent basis – is here to stay, and we’re very much a hybrid-first company.
  • 25 days’ holiday a year plus 8 UK public holidays – plus bonus time off between Christmas and New Year.
  • Enhanced employer pension contributions
  • Private health insurance
  • Meaningful equity in a fast growing business
  • Flexible working arrangements
  • Generous professional and personal development budget, including unlimited private coaching sessions with More Happi.
  • Frequent team social events, free weekly team lunches, snacks and a fully stocked drinks fridge at our Borough HQ.
  • Your own company card for getting equipment, training, books, snacks, coffee
  • £500 to spend on your work from home setup
  • Enhanced parental leave

The day-to-day

  • Exercise general machine learning practices for model training and evaluation
  • Design deep learning networks in Pytorch
  • Enable deep network inference in C++ codebase
  • Deploy deep networks using ONNX and TensorRT
  • Maintain data labelling pipelines and identify data imbalance issues
  • Implement intelligent data sampling strategies to ensure optimal accuracy of the learned algorithms, leveraging available data to the full extent
  • Keep up-to-date with recent developments in deep and machine learning

The must-haves

  • Strong mathematical or computer science background
  • Extensive experience with deep learning frameworks, e.g. Pytorch, Keras, Tensorflow
  • Good knowledge of Python
  • Working knowledge of C++
  • Knowledge of basic Python tools and libraries such as scikit-learn or numpy, including code vectorisation techniques
  • Bachelor degree in CS, ML, Robotics or related fields

The nice-to-haves

  • Commercial experience in robotics, computer vision, image and signal processing, computer graphics and related fields
  • Experience with parallel and distributed training, model distillation, training in the cloud
  • Papers in CV/ML conferences and journals

All about us

We’re a London-based startup founded by visual SLAM algorithm pioneers. Having raised over $30M in funding from top investors around the world, we’re developing breakthrough spatial intelligence solutions for the next generation of intralogistics solutions.

Next steps

There’s loads more info about us on our website. We’d suggest About and Meet the team as your first two stops to learn more about the industry, and what it’s like to work here.

Sound good? If you are interested, just hit Apply Now to get the ball rolling.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. #LI-DNI

Apply now!
Life at Slamcore

The perks

Enhanced employer pension contributions

Salary exchange on employee pension contributions

Private medical insurance

Enhanced parental leave

Employee share options

Worldwide personal travel insurance

25 days holiday + 8 bank holidays

Company “Restivus” in December

Flexible working

Annual learning budget

Annual company away days

£500 WFH budget

Social budget

Cycle to Work Scheme

Unlimited access to private coaching

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