Research Scientist

📋 Description

• Train and fine-tune deep learning models (PyTorch/JAX)
• Perform advanced time-series analysis to identify latent state changes
• Architect cloud-based pipelines for processing petabytes of data
• Define ground truth and evaluation metrics, design benchmarks
• Implement active learning loops to improve model performance
• Clean, wrangle, and interpret noisy real-world data

🎯 Requirements

• Top-tier publications in NeurIPS, ICLR, CVPR, or ICML
• Proficiency in PyTorch or JAX
• Strong expertise in Python
• Deep experience in time-series analysis plus two domains
• Experience architecting data pipelines and deploying in cloud
• Adaptable and excited about novel problem-solving

🎁 Benefits

• Comprehensive health, dental, vision insurance fully covered
• Renovated office in San Francisco's Mission District
• Relocation assistance and workspace setup stipend
• Monthly team dinners and twice-yearly retreats
• Fully stocked kitchen with snacks
• 12 weeks paid parental leave, PTO, conference sponsorship