Your personal AI career agent
Senior Machine Learning Engineer(m/w/x)
Building proactive AI smart assistants for everyday users, focusing on reliable long-running workflows. Production-quality code and systems thinking required. End-to-end ML workflow ownership and debugging.
Requirements
- Built and shipped ML systems for real users
- Understanding of ML model behavior in production
- Production-quality code and systems thinking
- Ownership, independence, and execution
- Fast learning, clear communication, and iteration
- Ability to bring structure, exercise judgment, and execute independently
Tasks
- Design and build core ML systems
- Own end-to-end ML workflows
- Transform research into production systems
- Debug and resolve production issues
- Iterate and refine ML models
- Collaborate with research, product, and engineering
- Mentor and review ML engineers
- Meet production constraints
- Ensure ML systems meet targets
- Monitor and resolve complex issues
- Maintain robust data pipelines
- Drive improvements based on user feedback
- Provide technical guidance to peers
- Ensure seamless ML feature integration
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- GPU-based training and inference systems
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- ProtonFull-timeOn-siteExperiencedGenf, Zürich
- A1
Applied AI Engineer(m/w/x)
Full-timeOn-siteNot specifiedZürich - Red Hat (Switzerland) SARL
Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Full-timeOn-siteSeniorZürich - Bank Julius Baer & Co. Ltd.
.Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperiencedZürich - A1
Full Stack Engineer, AI systems(m/w/x)
Full-timeOn-siteExperiencedZürich
Senior Machine Learning Engineer(m/w/x)
Building proactive AI smart assistants for everyday users, focusing on reliable long-running workflows. Production-quality code and systems thinking required. End-to-end ML workflow ownership and debugging.
Requirements
- Built and shipped ML systems for real users
- Understanding of ML model behavior in production
- Production-quality code and systems thinking
- Ownership, independence, and execution
- Fast learning, clear communication, and iteration
- Ability to bring structure, exercise judgment, and execute independently
Tasks
- Design and build core ML systems
- Own end-to-end ML workflows
- Transform research into production systems
- Debug and resolve production issues
- Iterate and refine ML models
- Collaborate with research, product, and engineering
- Mentor and review ML engineers
- Meet production constraints
- Ensure ML systems meet targets
- Monitor and resolve complex issues
- Maintain robust data pipelines
- Drive improvements based on user feedback
- Provide technical guidance to peers
- Ensure seamless ML feature integration
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- GPU-based training and inference systems
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
A1
Industry
IT
Description
A1 is a self-funded AI division under BJAK, focused on building a new consumer AI product with global relevance.
Not a perfect match?
- Proton
Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperiencedGenf, Zürich - A1
Applied AI Engineer(m/w/x)
Full-timeOn-siteNot specifiedZürich - Red Hat (Switzerland) SARL
Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Full-timeOn-siteSeniorZürich - Bank Julius Baer & Co. Ltd.
.Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperiencedZürich - A1
Full Stack Engineer, AI systems(m/w/x)
Full-timeOn-siteExperiencedZürich