ML Engineer (Research)

Reposted 21 Days Ago
Be an Early Applicant
Almaty, KAZ
In-Office
Entry level
Artificial Intelligence • Marketing Tech • Software • Generative AI
The Role
The role involves designing training pipelines for ML models, developing data pipelines, optimizing models, and collaborating across teams in a fast-paced startup environment.
Summary Generated by Built In
Why work at Higgsfield AI?

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.

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.

  • 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.

Skills Required

  • 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 with evaluation of complex ML systems
  • Excellent communication skills
Am I A Good Fit?
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The Company
70 Employees
Year Founded: 2023

What We Do

Higgsfield is an AI-native generative video platform that provides infrastructure for AI video and image generation, enabling creators, brands, and marketing teams to produce cinematic-quality visuals at scale by integrating various AI models into a unified workflow.

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