Senior Machine Learning Engineer, Scandit

Computer Vision

Salary not provided

Python

Tensorflow

C++

PyTorch

Senior and Expert level

Remote from UK

Smart data capture for the modern enterprise

Be an early applicant

Smart data capture for the modern enterprise

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechAugmented RealitySaaSAutomation

Be an early applicant

Salary not provided

Python

Tensorflow

C++

PyTorch

Senior and Expert level

Remote from UK

201-500 employees

B2BArtificial IntelligenceEnterpriseDeep TechAugmented RealitySaaSAutomation

Company mission

To give superpowers to workers, customers, and businesses by providing actionable insights and automating end-to-end processes.

Job

Company

Role

Who you are

You are a senior ML engineer who is passionate about building, shipping, and improving machine learning-powered systems
You have a proven track record of delivering state-of-the-art computer vision systems both on-device and on cloud and firsthand experience bringing them from the prototyping stage to production
You recognize that software development encompasses both technology and human interaction and feel comfortable working independently or on a team
While you stay on top of the state-of-the-art in CV/ML, you value proven technologies and small increments
You are creative and determined to solve real-world problems by thinking outside the box and making an impact
You thrive on tackling open problems, taking ownership, and effectively overcoming obstacles
You pay attention to details and at the same time are able to take pragmatic shortcuts to reach our goals
5+ years of experience solving recognition problems in the industry with a proven track record of launched products
Fluency in C++ and Python
Running ML models on mobile devices
Experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow)
Skilled in software design, problem-solving, and debugging
Experience in computer vision systems extracting information from printed documents or experience with fine-tuning of vision-language models is a plus

What the job involves

We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents
You will be responsible for evolving our current product by adding new features and optimizing the existing offering
You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art
Driving and solving semantic document parsing for our customer use cases
Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging)
Stay up to date with the latest research in document classification, text recognition and information extraction
Set direction and identify opportunities to push boundaries of recognition
Mentoring team members on code quality and engineering practices

Our take

Scandit leverages the cameras found in smartphones, tablets, wearables, and other devices such as drones to enable direct interaction with products. Scandit technology enables the cameras on these devices to scan barcodes and other product data.

Supported by a successful $150 million raise, the company has continued to innovate in the area with its focus on the Microsoft Hololens and other wearable displays as ways to help streamline warehouses.

Augmented reality is forecast to become a huge industry in itself, and as one of the early movers in the space, Scandit is well placed to further capitalise on the trend.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

37% female employees

-8% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 8 rounds)

Feb 2022

$150m

SERIES D

May 2020

$80m

SERIES C

Total funding: $275.7m

Company benefits

Additional day off on your birthday
Hybrid working
Health insurance & pension
Equity plan

Company HQ

Escher Wyss, Zürich, ZH

Leadership

Samuel Mueller

(CEO)

Started his career as a researcher for IBM's research lab. Has a PhD in Computer Science from ETH Zurich.

Christian Floerkemeier

(CTO & VP of Product)

Previously Associate Director of MIT's Auto-ID lab. Has a PhD in Computer Science from ETH Zurich.

Christof Roduner

(CIO)

Senior research scientist at ETH Zurich, after completing a PhD in Computer Science.

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