🛠 Tech Stack

💼 About This Role

You'll own the algorithm lifecycle from problem definition to production-ready models, combining classic statistical methods, deep learning, and GenAI to extract insights from sensor time-series data. Your work will directly impact industrial manufacturers globally. You'll have access to real-time big data and state-of-the-art AI technologies, making a tangible difference in real-world production.

🎯 What You'll Do

• Own algorithm lifecycle from problem definition to production models
• Research and build Agentic applications on sensor, text, and image data
• Combine statistical methods, deep learning, transformers, and GenAI
• Engage with customers to develop innovative solutions using new data types

📋 Requirements

• M.Sc. or Ph.D. in a quantitative field
• 5+ years experience in ML with time-series and embeddings
• 2+ years experience in LLM and Agentic applications
• Proficiency in Python for model development and deployment

✨ Nice to Have

• Experience in anomaly detection or AI/ML
• Experience in feature engineering-based signal processing
• Experience in optimizing costs of API calls

🎁 Benefits & Perks

• 🏖️ Flex PTO
• 📈 Stock options
• 👶 Paid parental leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site/Video Interview· 60 min