Senior ML Engineer - Vision & Multimodal (Production)

Clearview AI; United States; Presencial; USD 150.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, Vision

STD and LTD Plans

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

ML model dev

PyTorch/JAX

Software engineering

Ownership

Autonomy

Educación

BS/MS/PhD in CS or related field

Descripción del empleo

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