🛠 Tech Stack

💼 About This Role

You'll join the Static AI team to develop state-of-the-art ML models that stop malware before it runs on millions of machines worldwide. You'll design data pipelines, optimize ML infrastructure, and collaborate cross-functionally to ship detection engines.

🎯 What You'll Do

• Design and maintain scalable data pipelines for millions of data points
• Develop and optimize ML infrastructure for training and deployment at scale
• Translate research into production-ready detection engines with cross-functional teams
• Ensure reliability and performance of ML malware detection engines across platforms

📋 Requirements

• Degree in Computer Science or Mathematics or equivalent experience
• Experience collecting and building large datasets for training ML models
• Proven track record of deploying and running ML in production environments
• Experience with big data technologies such as Spark/Databricks, Hadoop

✨ Nice to Have

• Experience in cyber domain with security products or detection systems
• Experience with AWS cloud infrastructure and MLOps
• Experience with infrastructure as code (IaC)

🎁 Benefits & Perks

• 📈 Stock Bonuses: RSUs, annual performance bonuses, ESPP
• 🏖️ Flexible Time Off: 5 weeks vacation, paid sick leave, parental leave
• 🏥 Insurance & Health: Pension contribution, premium life insurance, private medical care
• 🍽️ Work Perks: Monthly meal/well-being allowance, MacBook/Windows laptop, in-office refreshments
• 📚 Growth: LinkedIn Learning, internal training, conference opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Hybrid requirement (2 days/week in office) not fully remote