Machine Learning Engineer
✨ AI Summary
Commutator Studios, a German start-up focused on quantum developer tools, seeks a Machine Learning Engineer to enhance quantum application performance on actual quantum hardware. With backing from esteemed investors, including Backtrace Capital and Preston Werner Ventures, we are poised for growth.
Main Responsibilities:
- Develop, deploy, and operate ML models to forecast quantum computation error rates.
- Optimize quantum applications to reduce error impacts.
- Collaborate closely with the CTO to build core intellectual property.
- Collect and engineer features from quantum error data.
- Select and train appropriate ML models for error prediction.
- Monitor and maintain ML models.
- Work with the product team to advance metrics for error impact and performance.
Requirements:
- Several years of industrial experience in machine learning.
- Strong Python programming skills.
- Comprehensive understanding of various ML models, including Bayesian, neural networks, and decision trees.
- Experience in data engineering and basic ML Ops (e.g., ML-Flow, DVC).
- Ability to develop REST APIs.
- Familiarity with Apache Spark, AWS (especially Athena), GCP (BigQuery, Cloud Dataproc), TypeScript, and knowledge of quantum mechanics is preferred.
