Senior Computer Vision Engineer - Remote AI Innovation

Social Discovery Group; España; Presencial; EUR 85.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote opportunity

Vacation 28 days

Wellness days

Bonuses up to $5000

Training reimbursement 50%

Health benefits up to $1000

Workspace reimbursement up to $1000

English lessons discount

Merchandise / team events

Descripción de la vacante

Social Discovery Group is seeking a Senior CV Engineer to lead the development of photorealistic visuals using diffusion models and multimodal architectures. This remote opportunity offers flexible work arrangements and a chance to shape CV roadmap across products.

You will train models, collaborate with image classifiers and captioning systems, and optimize inference performance while exploring latest CV research.

Formación

• 5+ years in CV model training and diffusion architectures.
• Proficiency with diffusers and transformers libraries.
• Hands-on experience with IP-adapters.
• Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems.

Responsabilidades

• Train and fine-tune generative models to produce photorealistic and stylized visuals.
• Work with image classifiers, rankers, and image/video captioning models that understand visual context.
• Track cutting-edge CV research and translate them into a CV roadmap for the ML team.
• Build and own the iterative model improvement process, including quality validation systems for CV outputs.
• Optimize inference performance: diffusion optimization, quantization, kernel and framework-level work.
• Optionally: train multimodal AI companions that combine CV and NLP for deeper visual understanding.

Conocimientos

CV model training

Diffusion models

Transformers

IP-adapters

Python

Go

C#

Backend deployment

Herramientas

Diffusers

Transformers

IP-adapters

Descripción del empleo

Social Discovery Group is seeking a Senior CV Engineer to lead the development of photorealistic visuals using diffusion models and multimodal architectures. This remote opportunity offers flexible work arrangements and a chance to shape CV roadmap across products.

You will train models, collaborate with image classifiers and captioning systems, and optimize inference performance while exploring latest CV research.