Higgsfieldai

ML Engineer (Research)

2mo ago
CIS
Higgsfieldai

ML Engineer (Research)

2mo ago
CIScomputer visionmodel trainingoptimizationdistributed trainingmulti-gpu

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

Requirements

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

Other

  • Higgsfield AI is the fastest-growing GenAI platform in the world — #1 in Video AI in the U.S. and top globally by growth.
  • We raised a $130M Series A — and we’re only getting started. This is your chance to join early, when the team is small but mighty, and help build the next GenAI decacorn.
  • 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)
  • Competitive salary in USD .
  • On-site role in our Almaty office .
  • Full-time position with high growth potential.