🛠 Tech Stack

💼 About This Role

You'll design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch. You'll partner with cross-functional teams to deliver strategic roadmap initiatives and own systems throughout the full lifecycle. This role offers a chance to impact high-impact ML products in a collaborative, award-winning culture.

🎯 What You'll Do

• Design, build, and maintain scalable ML systems and infrastructure.
• Partner with ML engineers, PMs, data scientists, and data engineers.
• Own systems from design to deployment and monitoring.
• Propose solutions to gaps in process, technology, and architecture.

📋 Requirements

• Bachelor's degree in CS, Engineering, or equivalent experience.
• 3+ years experience in ML ops, model serving, and optimization.
• 3+ years experience with Python and building scalable backend services.
• 2+ years experience with relational databases and designing maintainable systems.

✨ Nice to Have

• Experience with Huggingface, Tensorflow, or Pytorch.
• Experience with online experimentation platforms like Statsig.
• Experience developing cloud-native Dockerized apps in Kubernetes.

🎁 Benefits & Perks

• 🏖️ Paid time off and wellness days.
• 💰 Matching 401(k) program.
• 👶 100% paid parental leave.
• 🏋️ On-site gym with Peloton bikes.
• 🚚 Relocation assistance available.