Generative AI Vision Engineer — Synthetic Data Pipelines

Repli5 AB; Göteborgs kommun; Hybrid; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Competitive compensation package

Flexibility and work-life balance

Challenging tasks at the forefront of technology

Autonomy in technical decisions

Caring international culture

Flexible working hours

Job summary

Repli5 AB in Gothenburg is seeking a Machine Learning Engineer skilled in generative AI and computer vision. You will develop workflows for generating synthetic image data that powers AI systems in autonomous vehicles and industrial robotics.

The ideal candidate has a MSc or PhD in a relevant field and extensive experience with deep learning frameworks. The role offers competitive compensation, flexibility, and an opportunity to influence the direction of innovative technology.

Qualifications

• 3+ years of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with state-of-the-art image generation models (GAN, Diffusion, Transformers).
• A track record of deploying ML systems in domains like industrial automation, defense, or automotive.

Responsibilities

• Develop and fine-tune generative AI pipelines for synthetic image generation.
• Design and implement machine learning workflows to generate structured datasets.
• Collaborate with 3D artists and engineers to align ML models with environments.

Skills

Deep learning frameworks (PyTorch, TensorFlow)

Generative AI models (GAN, Diffusion, Transformers)

Workflow exploration with generative AI

Synthetic data generation

Education

MSc or PhD in Computer Vision, Machine Learning, or related field

Tools

LoRA

ControlNet

ComfyUI

Job description

Repli5 AB in Gothenburg is seeking a Machine Learning Engineer skilled in generative AI and computer vision. You will develop workflows for generating synthetic image data that powers AI systems in autonomous vehicles and industrial robotics.

The ideal candidate has a MSc or PhD in a relevant field and extensive experience with deep learning frameworks. The role offers competitive compensation, flexibility, and an opportunity to influence the direction of innovative technology.