🛠 Tech Stack

💼 About This Role

You'll build and scale ML infrastructure at a company focused on helping defenders win using AI. You'll architect training pipelines on AWS and contribute to the evolution of our ML platform. This role offers the chance to work on agentic applications using Amazon Bedrock.

🎯 What You'll Do

• Architect end-to-end ML training pipelines on AWS
• Build infrastructure for production agentic applications
• Implement AI/ML governance for model versioning and testing
• Mentor junior engineers and drive engineering excellence

📋 Requirements

• 5+ years of software engineering with ML focus
• Strong Python proficiency
• Hands-on experience with AWS (SageMaker, Bedrock)
• Experience operationalizing LLMs and building agentic applications

✨ Nice to Have

• Familiarity with GCP Vertex AI
• Knowledge of Go or JavaScript
• Experience with ML frameworks like PyTorch or TensorFlow

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 👶 Up to 24 weeks parental leave
• 💪 Excellent health benefits
• 📱 Monthly fitness and cell phone stipends
• 📚 Conference benefit and learning opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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