Research Scientist / Engineer — Foundation Model (Agent)

What you'll do

• Architect multimodal agentic models and train them on large datasets using GPU clusters.
• Build data pipelines to construct, enrich, and filter pixel datasets and formulate new tasks.
• Develop evaluation frameworks to measure multimodal agents.

What they ask for

• Strong foundation in machine learning, foundation models, and agentic systems.
• Deep understanding of agentic systems, LLM/VLM reasoning, coding models, and tool calling.
• Hands-on PyTorch experience and large-scale training experience, including distributed training, mixed precision, and large datasets.

Nice to have

• Experience with state-of-the-art foundation models in reasoning, coding, or tool calling, or state-of-the-art multimodal agents.

Tools

PyTorch, GPU clusters, LLM/VLM

AI focus

Research, architect, and train multimodal agentic models with reasoning, planning, coding, and tool-calling capabilities; build data pipelines and evaluation frameworks for these agents.