Senior/Lead Machine Learning Engineer, SLAMcore
+ Equity
1+ day a week in office
Spatial intelligence for robots and machines
Job no longer available
Spatial intelligence for robots and machines
21-100 employees
Job no longer available
+ Equity
1+ day a week in office
21-100 employees
Company mission
To bring our Spatial AI technology ot the material handling and robotics market.
Role
Who you are
- If you have a knack for designing, developing and deploying 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!
- 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 all about using AI to make industrial robots and vehicles smarter and more efficient
- Become an essential part of embedding advanced AI technology into our industry leading SLAM algorithms
- 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
- 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. And with funding secured, the company is working on expanding its suite of offerings, as well as expanding its operations to new markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
May 2022
$16m
SERIES A
Apr 2020
$4.7m
SERIES A
Total funding: $25.8m
Company benefits
- Enhanced employer pension contributions
- 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
- Salary exchange on employee pension contributions
- Private medical insurance
Company values
- 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
Company HQ
London, UK
Articles
Leadership
Owen Nicholson
(CEO)Previously an External Research Programme Manager at Dyson for 3 years and a Project Manager at Raleigh International for 3 months.
Jacek Zienkiewicz
(Co-Founder & CTO)Previously a Software Engineer at SICK AG for 5 years. They earned a PhD in Computer Vision and Robotics from Imperial College London.
Paul Brasnett
(CPO)Prior to Slamcore, they spent 9 years at Imagination Technologies, as a Principal Research Engineer, Senior Research Manager, and Director of Business Development. They also spent 4 years at Mitsubishi Electric R&D Center Europe as a Research Engineer/Senior Research Engineer.
People progressing
Joined in 2018 as an Office Operations Manager before becoming the Head of Business Operations in 2020 and then the VPoof People and Business Operations in 2024.
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