Senior Computer Vision Engineer

We are looking for a Senior Computer Vision Engineer to join our partners 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 companys 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.