AI Research Engineer - 3D Computer Vision

EngineersOfAI; Germany (OH); On-site; USD 80,000 - 120,000; Full time

Job summary

EngineersOfAI is looking for a skilled professional to join their computer vision team in the United States, Ohio. This role involves developing AI capabilities for scene understanding and localisation, focusing on robust systems for geo-registration and SLAM.

As part of the team, you will work on high-impact projects to enhance AI technologies used in defence. Ideal candidates should possess a degree in Computer Science or a related field and have experience in machine learning frameworks. Join us to innovate in the field of AI and contribute to ethical technology deployment.

Qualifications

• Experience in developing and evaluating computer vision models and pipelines.
• Proficiency in machine learning frameworks and software tools.
• Strong problem-solving skills for real-world operational constraints.

Responsibilities

• Build systems for scene matching, geo-registration, and mapping.
• Develop robust pipelines for SLAM and visual odometry.
• Collaborate with teams to integrate outputs into decision-making pipelines.

Skills

Computer vision

Scene understanding

SLAM

Geometric deep learning

Education

Degree in Computer Science, AI, or related field

Tools

Python

TensorFlow

OpenCV

Job description

Who we are

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 democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer‑facing programme managers. We are looking for mission‑driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

At Helsing we deliver AI‑based capabilities and the enabling foundation that allow machines to perceive and assist human decision‑making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be part of a computer vision team specialising in scene understanding and localisation, responsible for building systems for scene matching, geo‑registration, simultaneous localisation and mapping (SLAM), and 3D reconstruction. 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. You will collaborate across research, engineering, and product teams on high‑impact projects.

Typical examples of day‑to‑day responsibilities include, depending on the team:

• Developing and benchmarking scene matching and geo‑registration pipelines robust to challenging conditions such as changes in illumination, viewpoint, season, or sensor modality.
• Building and evaluating SLAM, visual odometry, or structure‑from‑motion systems for deployable platforms under real‑world operational constraints.
• Researching and adapting state‑of‑the‑art geometric deep learning or feature matching methods to concrete use cases, from local feature descriptors to learned place recognition.
• Collaborating with product and downstream deployment teams to integrate localisation and reconstruction outputs into navigation or decision‑making pipelines and shape the roadmap for new capabilities.

The day‑to‑day

You will develop computer vision models and pipelines that leverage and extend the latest state‑of‑the‑art methods and architectures, as well as design experiments to push the limits of performance and robustness.