🛠 Tech Stack

💼 About This Role

You'll lead the development and maintenance of our machine-learning infrastructure, working on a platform that helps home service professionals streamline their operations. You will design robust systems for deploying and monitoring models, directly impacting the lives of over 70,000 users. You'll collaborate with a global team of 200+ engineers and drive innovation in MLOps practices.

🎯 What You'll Do

• Lead design and maintenance of ML infrastructure for production models.
• Develop and automate end-to-end ML pipelines.
• Collaborate with data scientists to optimize model performance.
• Establish CI/CD pipelines and monitoring systems.

📋 Requirements

• Bachelor's degree in CS or related field.
• 6+ years in MLOps, data engineering, or DevOps.
• Proficiency in Python.
• Experience with AWS, GCP, or Azure.

✨ Nice to Have

• Experience with LLMs and LangChain.
• Experience with Terraform or Terragrunt.
• Experience with Apache Airflow.

🎁 Benefits & Perks

• 💻 Remote environment with global team
• 😎 Self-managed PTO
• ⏰ Flexible work hours
• 🖥️ Newest MacBook or PC + $500 setup fee

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Interview· 45 min