🛠 Tech Stack

💼 About This Role

You'll build, optimize, and deploy machine learning models at the intersection of research and product. You'll solve real-world problems with scalable and efficient techniques in a fast-paced team. This role stands out for its impact on enterprise automation.

🎯 What You'll Do

• Build and improve modern ML models for complex problems.
• Read papers, propose and implement model improvements.
• Design HCI interfaces for ML model accessibility.
• Run benchmarks and present findings to the team.

📋 Requirements

• Knowledge of Python and ML libraries like PyTorch, TensorFlow, or JAX.
• Ability to implement models from academic papers (ICML, ICLR, NeurIPS).
• Strong quantitative intuition and mastery of linear algebra, probability, and statistics.
• Solid knowledge of data structures and algorithms with asymptotic complexity.

✨ Nice to Have

• Experience with deploying models in production.
• Familiarity with cloud platforms like AWS or GCP.
• Published research or contributions to open source.

🎁 Benefits & Perks

• 🧑‍💻 Flexible work arrangements (hybrid/remote options).
• 💰 Competitive salary and equity.
• 🌍 Global team with diverse backgrounds.
• 📚 Learning opportunities and conference attendance.
• 🏥 Comprehensive benefits package.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· 3 hours