🛠 Tech Stack

💼 About This Role

You'll drive research and model development for Field AI's Field-insight Foundation Model (FiFM), focusing on computer vision, vision-language models, and agentic AI. Your work powers a global fleet of autonomous robots, transforming multimodal data into actionable insights. You'll curate datasets, fine-tune models, and deploy into production, blending applied research and engineering.

🎯 What You'll Do

• Train and fine-tune multimodal models for computer vision and video understanding.
• Track state-of-the-art research and adapt novel algorithms.
• Curate datasets and develop model interpretability tools.
• Build scalable evaluation pipelines for vision and multimodal models.

📋 Requirements

• Master's/Ph.D. in Computer Science, AI/ML, or equivalent experience.
• 2+ years industry experience in CV/ML/AI.
• Proficiency in Python and PyTorch with production-level coding.
• Experience fine-tuning open-source multimodal models (HuggingFace, DeepSpeed, etc.).

✨ Nice to Have

• Experience with Agentic/RAG pipelines and knowledge graphs.
• Background in optimization (token cost reduction, quantization).
• Exposure to open-vocabulary detection or multimodal RAG.

🎁 Benefits & Perks

• 💻 Work on embodied AI that ships on real robots.
• 🚀 Rapid experimentation with state-of-the-art models.
• 🌐 Global deployment of your work across a fleet of robots.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min