Senior MLOPS Engineer, UVeye

Salary not provided

Docker

Python

Linux

Tensorflow

PyTorch

Unix

Senior and Expert level

Remote from US

Automated, AI-based inspection systems for vehicles

Job no longer available

Automated, AI-based inspection systems for vehicles

201-500 employees

B2BArtificial IntelligenceCarsHardwareComputer VisionMachine LearningSaaSDevOps

Job no longer available

Salary not provided

Docker

Python

Linux

Tensorflow

PyTorch

Unix

Senior and Expert level

Remote from US

201-500 employees

B2BArtificial IntelligenceCarsHardwareComputer VisionMachine LearningSaaSDevOps

Company mission

To raise the standard of vehicle inspections, to help create better mobility and safer roads.

Job

Company

Role

Who you are

7+ years of experience as a Backend engineer
Bsc in Computer Science or industry equivalent
Strong working experience in Python development
Working experience with building or maintaining cloud-native applications
Working experience with Linux/Unix
Working experience with VEnv, Docker, K8S
Experience with optimizing algorithm implementations

Desirable

Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.). Comfortable in unexplored territory
Experience with ML development and MLOps
Experience with GPU/CPU optimizations
Experience with Real-time/Embedded development

What the job involves

We seek an experienced SeniorMachine Learning Software Engineer to join our NJ Team
In this role, you will develop efficient and scalable code to create and operate ML systems for our production and Infra environments
Productization of algorithms - Optimized for large scale algo serving
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD
Continuously explore ways to improve our code and ML Infrastructure
Collaborate with team members to define future technology and features

Our take

UVeye has developed contact-free vehicle inspection systems that leverage AI, ML, and computer vision to swiftly detect faults and abnormalities in vehicles. It’s a broadening out of UVeye’s original remit, which was inspection devices for military and police organizations - although sensitive security facilities like embassies and power plants still make up a critical part of UVeye’s business.

This pivot provided a real shot in the arm for UVeye, especially for its US expansion where it struck gold in the automotive sector. Healthy funding has now come from major players like Toyota Tsusho, Hyundai Motors and Volvo, and the latter has committed to a long-term contract to install the tech in all its North American dealerships.

UVeye is astutely doubling down on its penetration into the $100B+ US automotive industry through flirting with expansions into the insurance sector - it’s partnered, for example, with W.R. Berkley. Insurance tech in this region is throwing itself into data-led digital transformation, and a system that allows UVeye to explore this kind of partnership alongside lucrative manufacturing and defense contracts makes for a very promising position indeed.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

38% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 6 rounds)

Jan 2025

$41m

LATE VC

May 2023

$100m

SERIES D

Total funding: $251.9m

Company benefits

Private gym (including yoga and meditation class)
Spacious work space
Huge rooftop
Free UVeye scan for your car
Dog friendly

Company HQ

Teaneck, NJ

Leadership

Amir Hever

(CEO & Co-Founder)

Previously a Software Engineer and Team Leader for the Israel Defense Forces, who continued to work on software with Correlsense and Movizzy. Subsequently served as VP of R&D at Visualead (ultimately acquired by Alibaba).

Ohad Hever

(COO & Co-Founder)

Worked as a Clinical Electrophysiology Technician at Gamida, before serving as VP of Product at Elgoteam - where he had once spent time as a Project Manager.

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