# Staff AI Research Engineer -  Computer Vision

**Company**: Helsing
**Location**: Berlin
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/helsing/jobs/4334842101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_be3e3e45-4f1

## Description

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As a Staff AI Research Engineer - Computer Vision, you will be part of a computer vision team responsible for building models for object detection, recognition, classification, and tracking. You will develop and extend state-of-the-art architectures and pipelines, design rigorous experiments, and conduct benchmarks to evaluate and improve real-world performance, including adaptation to the compute constraints and operational requirements of downstream deployments.

Responsibilities:

- Optimising models for real-time deployed performance on target hardware: selecting the best architecture or layers for throughput and latency constraints, curating and leveraging data to improve performance

- Researching new model architectures, replicating and adapting SOTA detection, tracking, or classification methods to concrete use cases according to operational needs

- Running multi-GPU or multi-node training jobs on large-scale sensor datasets to build powerful foundation or auto-annotation models

- Interacting with product and downstream deployment teams to identify perception bottlenecks, prioritise improvements, and shape the roadmap for new capabilities

Requirements:

- Hold an MSc in computer science, machine learning, robotics, or a closely related field, with experience in designing, implementing, and thoroughly evaluating advanced AI-based systems

- Have hands-on experience developing and deploying computer vision models

- Are deeply familiar with modern deep learning architectures for visual perception, including convolutional and transformer-based models

- Possess solid software engineering skills, writing clean and well-structured code in Python

- Have excellent communication skills and the ability to report and present research findings clearly and efficiently

Nice to have:

- PhD in computer vision, machine learning, robotics, or a related field, with publications in top-tier venues

- Experience with object detection and classification, single and multi-object tracking, or scene understanding

- Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources

- Experience with simulators, emulators, or synthetic data generation pipelines

- Experience with Rust and/or C++

What we offer:

- Competitive salary and VSOP options

- Relocation support: up to €2,500 and 4 weeks temporary accommodation

- Learning: €500/£450 yearly allowance

- Health & wellness: gym membership and mental health support (Nilo.health)

- Social: regular company events and monthly social allowances

- Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

- Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

## Skills

### Required
- computer vision
- deep learning
- Python
- software engineering
- communication

### Nice to have
- PhD in computer vision
- object detection
- single and multi-object tracking
- scene understanding
- Rust
- C++

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/helsing/jobs/4334842101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)