KOG:

Kog is a real-time AI startup, created a little over a year ago, which aims to revolutionize how AI is used in digital experiences. The goal is to make AI faster, more efficient, and more intuitive.

We creatively optimize at a very low level with our own solutions and seek out new ideas that we implement ambitiously.

Kog is based on two axes:

• Hardcore GPU Engineering

• Custom model architectures for speed

Our final objective is to be 10x faster on GPUs and 10x faster on model architecture, thus 100x faster total!

About the Model Architecture team:

The team thrives to deliver extremely low-latency inference models. Next-generation applications raise new target performance, and we build and deliver pipelines to match these new challenges.

As a post-training engineer, you'll be responsible for understanding the Product's needs and delivering high-quality models based on our architecture.

What you'll do:

• You will translate business needs into quality standards. You will select among existing benchmarks and develop custom ones.

• You'll design, implement, and validate the post-training recipe.

• You'll highlight the capabilities and limitations of our custom architecture from a Research and Product perspective.

• You'll help prioritize the next research topics, contributing to the continuous improvement of our models and product.

About you:

Must-have:

• You have 2+ years of experience in fine-tuning LLMs to product needs.

• You have experience in visualizing and understanding data.

• You have strong communication skills and can convert real-world use cases into clear benchmark ideas and implementations.

• You have technical coding skills in Python, Pytorch, and one fine-tuning framework such as MLflow.

Nice-to-have :

• You have a deep understanding of compression and fine-tuning algorithms and can pick the right one in any given scenario.

• You have worked in an HPC environment (SLURM).

What we offer:

• Competitive salary

• Equities (BSPCE)

• Elite technical challenges

• World-class team (9 engineers, including 3 PhD)

• A creative environment where your goal is to push back the limits

• Equipment you'll need to perform

• WeWork offices in the 13th district of Paris (near Station F)

• Afterworks during our Paris week

You can apply right below if you feel that you're up to the task!