Senior Computer Vision Engineer

About the job

We are looking for a Senior Computer Vision Engineer to join our partner's team!

Our partner is a London based deep tech startup on a mission to revolutionize data privacy through Generative AI. Rather than replicating existing technologies, they are building groundbreaking, world-class solutions to solve critical data privacy and security challenges.

In this role, you will play a key part in developing state-of-the-art computer vision models while contributing to cutting-edge AI research. You will collaborate closely with the company's research leadership, helping build innovative technologies that address complex real-world data privacy and security challenges.

We seek applicants with the following skills and background

• Strong experience on Deep Generative Models (i.e. Diffusion Models, Generative Adversarial Networks, Autoencoders, etc.)
• Preferably, has, or is in the process of obtaining, a PhD or MSc degree in Computer Science, Computer Vision, Computer Graphics, Machine Learning, Data Science or related fields; or a comparable research experience.
• Fully Proficient in Python and C/C++.
• Experience with Deep Learning frameworks such as PyTorch / TensorFlow / Jax.
• Strong modeling, training, testing and validation experience with the ability to build deep-learning models.
• Experience in optimising performance-critical computer vision applications.
• Strong analytical thinking and problem-solving skills.

What They Offer

• Opportunity to conduct world-class, satisfying "State-of-the-Art" research.
• High-quality and robust computational access and infrastructure (e.g., Anthropic, premium cloud resources).
• Competitive net salary structure and a collaborative, mission-driven team culture.

Location & Culture

• Primary Preference: İzmir (Alsancak - İzQ Innovation Center) office.
• Alternative Locations: Ankara or Istanbul (İTÜ Arı Teknokent) on a hybrid/remote basis.
• Exceptional candidates based in London can also be evaluated.

Applicants also are expected to be comfortable with cross-group and cross-culture collaborations, as well as a hybrid working culture.