🛠 Tech Stack

💼 About This Role

You'll bring research-grade ML models into production systems that serve millions of users, powering home valuation and property recommendations. You'll bridge the gap between research and production, ensuring models are scalable and reliable while working with large multimodal datasets. This role offers direct impact on customer experience in a fast-paced, product-focused engineering culture.

🎯 What You'll Do

• Transform research prototypes into scalable production systems
• Design and implement MLOps pipelines including CI/CD for ML
• Optimize models for real-time inference and system efficiency
• Build monitoring systems for data drift and model degradation

📋 Requirements

• 5+ years of software engineering experience
• 2+ years in production ML systems
• Proficiency in Python for production codebases
• Experience with Docker and Kubernetes for deployment

✨ Nice to Have

• Experience with PyTorch, TensorFlow, or Scikit-learn
• Proficiency in SQL and Spark or Kafka
• Knowledge of A/B testing and model monitoring

🎁 Benefits & Perks

• 💰 Competitive compensation ($164k-$258k base)
• 🏥 Comprehensive healthcare (medical, dental, vision)
• 🏦 401(k) retirement plan with employer match
• 🏖️ Paid time off and flexible leave policies
• 👶 Family-focused benefits supporting work-life balance

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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