Founding ML Engineer β€” Barcelona (Relocation, Equity)

Founding ML Engineer β€” Barcelona (Relocation, Equity)

Barcelona Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Sivara GmbH

At a Glance

  • Tasks: Build complex machine learning models and explore biological data applications.
  • Company: Sivara GmbH, a fast-growing SaaS company in vibrant Barcelona.
  • Benefits: Competitive salary, flexible work options, and relocation support.
  • Other info: Exciting opportunity to grow in a dynamic and innovative environment.
  • Why this job: Join a mission-driven team and make a real impact in the ML field.
  • Qualifications: Strong machine learning skills and a passion for technical challenges.

The predicted salary is between 60000 - 80000 Β£ per year.

Sivara GmbH, a rapidly expanding SaaS company, is seeking an experienced Machine Learner to join our in-person team in Barcelona. The ideal candidate will possess strong machine learning skills and the ability to build models for complex systems.

We are looking for someone who values curiosity and technical depth and can support our mission of utilizing biological data in machine learning.

We offer a competitive salary, flexible work arrangements, and relocation support to help you settle in Barcelona.

Founding ML Engineer β€” Barcelona (Relocation, Equity) employer: Sivara GmbH

Sivara GmbH is an excellent employer for those looking to make a meaningful impact in the field of machine learning. With a vibrant work culture that fosters curiosity and innovation, employees benefit from competitive salaries, flexible work arrangements, and comprehensive relocation support to help them thrive in beautiful Barcelona. The company prioritises employee growth, offering opportunities to deepen technical expertise while contributing to groundbreaking projects in the realm of biological data.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

We think you need these skills to ace Founding ML Engineer β€” Barcelona (Relocation, Equity)

Machine Learning
Model Building
Complex Systems Analysis
Biological Data Utilisation
Curiosity
Technical Depth
Data Analysis