17 days ago
Responsibilities
- Design, develop, and optimize machine learning models for fault detection and classification.
- Perform exploratory data analysis on vibration, OT, and time-series data.
- Conduct experiments to evaluate algorithms for time-series modeling and signal processing.
- Collaborate with product managers on feature discovery and roadmap prioritization.
- Engage with domain experts to validate findings and ensure real-world application.
- Participate in on-call duties.
Requirements
- Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field.
- 5+ years of programming experience with ML tools such as Python, PyTorch, and TensorFlow.
- Strong foundational knowledge in machine learning, data science, and statistics.
- Familiarity with time-series modeling techniques and feature engineering.
- Ability to deliver production-grade, well-tested, and maintainable code.
Benefits
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A high-impact culture that celebrates ideas and outcomes.