ML Engineer: Vision‑Language Models for Motion

Pear VC; Austin, California (TX, MO); On-site; USD 120,000 - 150,000; Full time

Job summary

A cutting-edge AI company in Austin is seeking a Machine Learning Engineer who excels in foundation-model research and production engineering. The role involves training Vision-Language Models to enhance understanding of complex video motion and developing robust APIs for enterprise clients. Ideal candidates will have strong skills in Python and PyTorch, along with research experience in foundational models. Join a dynamic startup environment focused on real-world impact with significant creative autonomy.

Qualifications

• Strong proficiency in Python and PyTorch.
• Research experience in foundation models or multi-modal learning.
• Ability to iterate quickly and autonomously.
• Experience with video or sensor data training.

Responsibilities

• Train and evaluate VLMs specialized for motion understanding.
• Design GPU-accelerated pipelines for multi-modal data.
• Build frameworks for spatiotemporal reasoning.
• Develop curation loops that refine datasets.
• Publish high-impact research while shipping features.

Skills

Python

PyTorch

Multi-modal ML workflows

Autonomous working

Tools

Distributed training systems

GPU optimization

Job description

A cutting-edge AI company in Austin is seeking a Machine Learning Engineer who excels in foundation-model research and production engineering. The role involves training Vision-Language Models to enhance understanding of complex video motion and developing robust APIs for enterprise clients. Ideal candidates will have strong skills in Python and PyTorch, along with research experience in foundational models. Join a dynamic startup environment focused on real-world impact with significant creative autonomy.