ML Quality Engineer — Data Pipelines & Model Tuning

Moonfire; Zürich; On-site; CHF 110,000 - 160,000; Full time

Job summary

Moonfire in Zürich seeks a Software Engineer – ML Quality to ensure AI agents are reliable and robust. You will design data pipelines, fine-tune models, and build evaluation frameworks. The role welcomes junior candidates with an MSc in CS and ML exposure, offering a path to grow into a pivotal ML quality function in a fast-moving startup.

Join a team of engineers building high-impact software with a strong emphasis on quality, ownership, and practical ML applications in a dynamic environment.

Qualifications

• Proven track record in ML quality, fine-tuning, or AI-powered product development.
• MSc in CS (or related field) with some ML exposure and eagerness to grow in ML quality.
• Knowledge of model training, evaluation, and common pitfalls.
• Experience building data collection, labeling, and annotation workflows.
• Analytical mindset with ability to spot weaknesses in models or data.
• Ability to explain technical concepts clearly to technical and non-technical audiences.
• Comfortable taking initiative in a fast-paced startup environment.

Responsibilities

• Design and build automated systems to collect, curate, and label training data for model fine-tuning.
• Fine-tune language models to improve accuracy, robustness, and performance based on real-world usage data.
• Implement robust evaluation pipelines to measure ML model performance against benchmarks.
• Collaborate with other engineers to establish quality metrics and acceptance criteria for new models and features.
• Investigate and debug model failures and performance regressions, identifying effective fixes.
• Help us build a world-class engineering culture that values quality, impact, and ownership.

Skills

Machine Learning Expertise

ML concepts understanding

Data pipeline skills

Problem-solving skills

Excellent communication

Bias for action

Education

MSc in Computer Science

Job description

Moonfire in Zürich seeks a Software Engineer – ML Quality to ensure AI agents are reliable and robust. You will design data pipelines, fine-tune models, and build evaluation frameworks. The role welcomes junior candidates with an MSc in CS and ML exposure, offering a path to grow into a pivotal ML quality function in a fast-moving startup.

Join a team of engineers building high-impact software with a strong emphasis on quality, ownership, and practical ML applications in a dynamic environment.