🛠 Tech Stack

💼 About This Role

You'll own the algorithm lifecycle for anomaly detection and predictive models using real-time sensor data in a leader of Industrial AI. Your models will directly impact manufacturers worldwide, reducing downtime and maximizing yield.

🎯 What You'll Do

• Own algorithm lifecycle from problem definition to production models
• Research and build anomaly classification, predictive, and recommendation models
• Ensemble multi-modalities using deep learning, Transformers, GenAI
• Engage with customers and product team for innovative solutions

📋 Requirements

• M.Sc. or Ph.D. in Electrical Engineering, Computer Science, or related field
• 4+ years experience in ML applications including time-series data
• Proficiency in Python and Applied Science SDLC
• Experience with ML ops infrastructure like Vertex AI or Sagemaker

✨ Nice to Have

• Experience in feature engineering-based signal processing
• Experience with LLMs and agents (GPT, Claude, Gemini)

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3On-site (team)· 90 min