Senior Machine Learning Engineer, SLAMcore

Salary not provided

+ Equity

AWS
Python
Tensorflow
C++
Azure
NumPy
Scikit-Learn
PyTorch
Keras
Senior level
London
SLAMcore

Spatial intelligence for robots and machines

Open for applications

SLAMcore

Spatial intelligence for robots and machines

21-100 employees

B2BArtificial IntelligenceDeep TechRoboticsDronesComputer VisionMachine LearningSaaS

Open for applications

Salary not provided

+ Equity

AWS
Python
Tensorflow
C++
Azure
NumPy
Scikit-Learn
PyTorch
Keras
Senior level
London

21-100 employees

B2BArtificial IntelligenceDeep TechRoboticsDronesComputer VisionMachine LearningSaaS

Company mission

To make quality spatial Intelligence available to all.

Role

Who you are

  • 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're passionate about machine learning and eager to join a dynamic and friendly team
  • Strong mathematical or computer science background
  • Experience with deep learning frameworks, e.g. Pytorch, Keras, Tensorflow
  • Experience with parallel and distributed training, model distillation, etc
  • Track record of successfully implementing and deploying machine learning models in production
  • Knowledge of best software engineering and machine learning practices
  • 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

Desirable

  • Experience with training models in the cloud (e.g. AWS, Azure)
  • Previous experience in SLAM, state estimation, or related areas is a great plus
  • Commercial experience in robotics, computer vision, image and signal processing, computer graphics and related fields
  • Previous experinece in embedded software engineering

What the job involves

  • 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
  • You'll get to play with cutting-edge technology, keep up with the latest in AI, and make a real impact in the industry
  • Exercise general machine learning practices for model training and evaluation
  • Design, train and maitain 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

Salary benchmarks

Our take

Machines with spatial intelligence are becoming more commonplace, no longer limited to factories and warehouses, but more often seen in environments such as hospitals, hotels and homes. As these machines operate in less constrained, more dynamic environments, spatial understanding is essential for reliable operation and intelligent behaviour. SLAMcore develops algorithms that help achieve this.

The company's team of world-leading spatial AI experts are doing this by developing SLAM (simultaneous localisation and mapping) algorithms. SLAMcore is making spatial AI solutions more accessible to businesses by unlocking huge market opportunities in robotics with robust SLAM algorithms that can survive in the real world. The company has a deep understanding of the interplay between software and hardware, and uses a system-level design to ensure it delivers the right balance between performance and affordability.

SLAMcore has a quickly expanding portfolio of supported applications. Through partnership with OEMs, the company aims to provide the core technology that will allow robots to become a meaningful part of everyday life. Further, recent funding secured will be used to expand SLAMcore's suite of offerings, as well as expanding its operations to new markets.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

27% female employees

7% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

May 2022

$16m

SERIES A

Apr 2020

$4.8m

SERIES A

Total funding: $26m

Company benefits

  • 25 days holiday per year plus 8 UK public holidays (or local equivalent)
  • Meaningful equity in a fast growing business
  • Flexible working
  • Generous professional & personal development budget
  • Enhanced parental leave policies
  • Enhanced employer pension contributions (UK-based employees only)
  • Private health insurance (UK-based employees only)

Company values

  • Curiosity
  • Integrity
  • Positive Impact
  • A-Team
  • Balance

Company HQ

London, UK

Leadership

Previously External Research Programme Manager at Dyson for 3 years and Project Manager at Raleigh International for 3 months

Jacek Zienkiewicz

(VP of Engineering)

Previously Software Engineer at SICK AG for 5 years. Earned a PhD in Computer Vision and Robotics from Imperial

Stefan Leutenegger

(Co-founder)

Previously Intern at NASA for 9 months and at Willow Garage for 4 months


People progressing

Joined as Office Operations Manager, being promoted to Head of Operations after 1 year.

Joined as Head of Strategic Partnerships, being promoted to VP Product Strategy after 5 months. and VP Product after 1 further year.

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