Machine Learning Engineer

Commutator Studios is a German based start-up that creates quantum developer tools to improve the performance of quantum applications on real quantum hardware. We have recently closed a pre seed round have prestigious investors including backtrace capital, Preston Werner Ventures and QAI Ventures.

Tasks

In this role, you will be responsible for the whole gamut of developing, deploying and operating ML models to predict quantum computation error rates and optimizing quantum applications to minimize their impact.

You will work directly with the CTO and collaborate with him on the development of our core intellectual property. Your responsibilities will be centered around :

• Collecting and feature engineering of quantum error data
• Selecting and training of the right ML model for quantum error prediction and optimization
• Deploying, operating and monitoring of ML models
• Collaborating with the product team
• Evolving our metrics for error impact and performance improvement

Requirements

We are looking for a machine learning engineer with multiple years of industrial experience. While you will be collaboarting closely with the quantum algorithms and product teams, you will be expected to take ownership and be able to make independent decisions in your area.

From successful candidates, we expect

Candidates with experience in the following areas will be preferred :

Benefits

As a remote-first company, we welcome applicants from around the world, with a strong preference for those in European time zones. This early-stage position provides the opportunity to help shape groundbreaking future technologies and to define your own areas of responsibility.

To our early stage emplyees we offer :

We welcome your electronic application. Please do not hesitate to reach out to us in case you have any questions regarding this position.

Commutator Studios is a German based start-up that creates quantum developer tools to improve the performance of quantum applications on real quantum hardware. We have recently closed a pre seed round have prestigious investors including backtrace capital, Preston Werner Ventures and QAI Ventures.

As a remote-first company, we welcome the best applicants from around the world. Since we are an early-stage startup, every position with us provides the opportunity to help shape groundbreaking future technologies and to define your own areas of responsibility.