ML Engineer

Almaty office.

Our ML team has extensive experience training state-of-the-art video and image models. You will have an exceptional opportunity to work on the world’s largest clusters, with thousands of top-tier GPUs (B200/H200) dedicated to model training.

What you will work on

• Design and implement end-to-end training pipelines for state-of-the-art models in computer vision - video and image generative models.

• Develop complex data pipelines to transform raw inputs (images, video, text, audio) into high-quality, annotated datasets that power model training and evaluation.

• Work tightly with scrapping and annotation teams.

• Optimize models for speed, scalability, and efficiency.

• Develop tools and frameworks to accelerate training, evaluation, and deployment of large models.

• Collaborate with product and design teams.

• Beat other models on public benchmarks (e.g. LMArena, Artificial Analysis)

Your must haves

***(**You don’t need to meet every single requirement to be a strong candidate — if you’re excellent in a few of these areas and eager to grow, we’d still love to hear from you. )

• Proven track record of training and deploying ML models into production (experience with large-scale vision (especially diffusion models), NLP, or multimodal systems is a big plus).

• Strong skills in model training, optimization, and evaluation, with hands-on experience in distributed training and multi-GPU systems is a big plus.

• Knowledge of modern ML research trends, frameworks, and tooling (e.g., PyTorch, Hugging Face, DeepSpeed, Accelerate, Ray).

• Experience with evaluation of complex ML systems.

• Willingness to work in a fast-paced, high-intensity startup environment (80+ hours per week).

• Excellent communication skills and ability to collaborate across research, engineering, and product teams.

The deal

• Competitive salary in USD.

• On-site role in our Almaty office.

• Full-time position with high growth potential.