About the role

As part of the technical visualization team, you will focus on AI model training using LoRA (Low-Rank Adaptation) for Stable Diffusion and working with tools like ComfyUI. The role requires a deep understanding of the image training process and involves using 3D software to refine and control the outputs. Working in a diverse, global team, you will contribute to innovative and sustainable mobility solutions that drive the future of the automotive industry.

This position is within a global at the intersection of technology, design, and mobility. The team values diversity and brings together talent from over 25 nationalities, creating a collaborative and inclusive atmosphere. Together, you will work toward ambitious goals, driving the development of future-oriented solutions that redefine the automotive experience.

You are offered

• Opportunities to work with cutting-edge AI technologies.
• A diverse and inclusive workplace.
• Professional growth and impact.

Work tasks

As a AI Software Engineer, your key tasks will include:

• Training AI models using LoRA for image generation and visualization.
• Customizing workflows and features within tools like ComfyUI.
• Using 3D software to enhance and control model outputs.
• Researching, experimenting, and curating data to improve AI processes.
• Collaborating with cross-functional teams to create technical solutions tailored for designers and artists.

We are looking for

Someone with a strong technical foundation and a curiosity for advancing AI applications. We believe your background includes:

• Proficiency in Python, with experience using frameworks like PyTorch or TensorFlow.
• Solid understanding of machine learning, deep learning, and image processing, including training neural network models.
• Experience with Stable Diffusion, LoRA training techniques, and tools like ComfyUI.
• Familiarity with Linux environments (including WSL).
• Strong 3D software skills, such as Blender, Maya, or 3DS Max.
• Excellent communication skills in English, both written and spoken.

Additional Qualifications:

• Understanding of Nvidia GPUs, distributed training, and quantization.
• A keen interest in staying updated with the latest AI and machine learning research.
• Knowledge of Swedish is a plus but not required and can be acquired through education or self-study.

To succeed in the role, your personal skills are:

• Stable
• Responsible
• Assertive

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.