Pear VC
B2B • Fintech • Artificial Intelligence
Pear VC is a venture capital firm specializing in pre-seed and seed investments. With a focus on supporting early-stage founders, Pear VC provides tailored services such as fundraising preparation, go-to-market strategies, and talent recruitment. The firm has a strong track record of backing companies valued at over $170 billion and is dedicated to building a community for entrepreneurs through initiatives like the Female Founder Circles and Pear Studio, offering resources and networking opportunities for founders in the tech industry.
11 - 50 employees
Founded 2013
🤝 B2B
💳 Fintech
🤖 Artificial Intelligence
Member of Technical Staff, Machine Learning
Job not on LinkedIn
October 29
Pear VC
B2B • Fintech • Artificial Intelligence
Pear VC is a venture capital firm specializing in pre-seed and seed investments. With a focus on supporting early-stage founders, Pear VC provides tailored services such as fundraising preparation, go-to-market strategies, and talent recruitment. The firm has a strong track record of backing companies valued at over $170 billion and is dedicated to building a community for entrepreneurs through initiatives like the Female Founder Circles and Pear Studio, offering resources and networking opportunities for founders in the tech industry.
11 - 50 employees
Founded 2013
🤝 B2B
💳 Fintech
🤖 Artificial Intelligence
📋 Description
• Train and evaluate VLMs specialized for motion understanding in autonomous-driving and robotics datasets. • Design and scale GPU-accelerated pipelines for training, fine-tuning, and inference on multi-modal data (video + language + sensor metadata). • Build agentic evaluation frameworks that benchmark spatiotemporal reasoning, localization accuracy, and narrative consistency. • Develop and productionize curation loops that use our own models to generate and refine datasets (“AI training AI”). • Publish high-impact research (e.g., NeurIPS, CVPR) while shipping features that customers use immediately.
🎯 Requirements
• Strong proficiency in Python, PyTorch, and large-scale ML workflows. • Research experience in foundation models, VLMs, or multi-modal learning (publications/patents a plus). • Ability to iterate quickly and autonomously, running experiments end-to-end. • Experience training or fine-tuning models on video or sensor data. • Understanding of retrieval systems, embeddings, and GPU optimization.
🏖️ Benefits
• Competitive salary • Flexible working hours • Professional development opportunities
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