Research, Vision Expertise

What you'll do

• Lead research projects on training and performance analysis of multimodal AI models.
• Build large-scale datasets and evaluation benchmarks for vision capabilities.
• Collaborate across research, engineering, and product teams; publish and present research and share code, datasets, and insights.

What they ask for

• Design, run, and analyze experiments with research judgment and empirical rigor.
• Understand machine learning fundamentals, large-scale training, and distributed compute environments.
• Proficient in Python and familiar with at least one deep learning framework; able to debug distributed training and write scalable code.
• Bachelor’s degree or equivalent experience in a related discipline with strong theoretical and empirical grounding; communicate complex technical concepts clearly in writing.

Nice to have

• Research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture; experience developing multimodal evaluation frameworks.
• Publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI; PhD or equivalent industry research experience.

Pay

$350,000- $475,000 USD (base salary)

Tools

Python, PyTorch, TensorFlow, JAX

AI focus

Research and develop multimodal AI for visual perception, vision-language interaction, multimodal reasoning, and real-world comprehension; includes model architectures, large-scale training, datasets, and evaluation.