Research Scientist / Engineer — Multimodal Agent
About The Position
This is a rare and foundational opportunity to define the future of multimodal AI. You will be at the forefront of building and training large-scale multimodal models, directly impacting how users interact with pixels. This role offers the chance to bridge cutting-edge research with magical, shipped products, working end-to-end on novel problems with no existing playbook. This opportunity involves both the “science” and “engineering” parts of research, two aspects that are of equal importance. This is a multi-stack opportunity where you will work on the intersection of modeling, data, systems, and evaluation.
Requirements
- Strong foundation in machine learning, foundation models and agentic systems.
- Deep understanding of agentic systems and approaches in LLM/VLM reasoning, coding models, LLM/VLM tool calling.
- Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets).
Nice To Haves
- State-of-the-art foundation models in reasoning
- State-of-the-art foundation models in coding
- State-of-the-art foundation models in tool calling
- State-of-the-art multimodal agents
Responsibilities
- Architect large-scale multimodal agentic models that use reasoning, planning, coding, and tool calling to achieve complex, multi-step multimodal work.
- Hillclimbing existing tasks and formulating new tasks through data.
- Design, implement, and run robust data pipelines for constructing, enriching, and filtering massive pixel datasets.
- Train large-scale multimodal models on massive datasets and GPU clusters.
- Define and build novel evaluation frameworks to measure multimodal agents.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
