ml engineer for generative video and image models

Higgsfield AI is a rapidly growing GenAI platform focused on video and image generation. The company operates in the Video AI market and has raised a $130M Series A.

• Design and implement end-to-end training pipelines for state-of-the-art computer vision models, including video and image generative models;
• Develop data pipelines that transform raw images, video, text, and audio into high-quality annotated datasets for model training and evaluation;
• Collaborate closely with scraping and annotation teams;
• Optimize models for speed, scalability, and efficiency;
• Develop tools and frameworks to accelerate the training, evaluation, and deployment of large models;
• Collaborate with product and design teams;
• Beat other models on public benchmarks such as LMArena and Artificial Analysis.

• Proven track record of training and deploying ML models into production;
• Strong skills in model training, optimization, and evaluation;
• Knowledge of modern ML research trends, frameworks, and tooling;
• Experience evaluating complex ML systems;
• Willingness to work in a fast-paced, high-intensity startup environment;
• Excellent communication skills and ability to collaborate across research, engineering, and product teams;
• Nice to have: Experience with large-scale vision, especially diffusion models, NLP, or multimodal systems; hands-on experience with distributed training and multi-GPU systems; experience with PyTorch, Hugging Face, DeepSpeed, Accelerate, and Ray.

• Competitive salary in USD;
• On-site role in the Almaty office;
• High growth potential.