Senior ML Engineer - Vision & Multimodal (Production)

Clearview AI

United States

On-site

USD 150,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Medical, Dental, Vision
STD and LTD Plans

Job summary

Clearview AI is seeking a highly technical individual contributor to advance computer vision and ML capabilities. This is a hands-on role for a research-minded engineer who wants to build and ship models that reason about real-world context behind imagery.

Much of the work focuses on large-scale visual understanding and extracting structured signals from images. You will design scalable systems, train and deploy models, work with vision-language models (VLMs), and build rigorous evaluation

Qualifications

  • Experience building, training, evaluating, and deploying ML models in production.
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models.
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets.

Responsibilities

  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from prototype to production.
  • Design systems that infer structured attributes and spatial context from imagery.
  • Train and fine-tune models on large real-world image datasets and build data pipelines to curate and label data at scale.
  • Work with vision-language models and build evaluation frameworks to measure accuracy.

Skills

ML model dev
PyTorch/JAX
Software engineering
Ownership
Autonomy

Education

BS/MS/PhD in CS or related field

Job description

Clearview AI is seeking a highly technical individual contributor to advance computer vision and ML capabilities. This is a hands-on role for a research-minded engineer who wants to build and ship models that reason about real-world context behind imagery.

Much of the work focuses on large-scale visual understanding and extracting structured signals from images. You will design scalable systems, train and deploy models, work with vision-language models (VLMs), and build rigorous evaluation

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