Machine Learning Engineer (AI)

Location: Remote, Switzerland; interviews may be conducted virtually or onsite.

Company

Building AI-native applications that bring proactive intelligence to communication, coordination, errands, and workflows.

What you will do

• Build and improve ML models for classification, ranking, retrieval, and personalization.
• Optimize classifiers for accuracy, precision, latency, and cost.
• Improve search relevance and context retrieval using embeddings, vector search, hybrid search, and reranking.
• Develop personalization models based on user behavior while respecting privacy.
• Create evaluation pipelines, labeled datasets, and metrics for measuring model quality and regressions.
• Build, maintain, debug, monitor, and deploy production ML training and inference systems.

Requirements

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience building and deploying ML models in production.
• Experience with classification, ranking, retrieval, recommendation systems, or personalization.
• Proficiency in Python and experience with PyTorch or JAX.
• Understanding of model evaluation, experimentation, performance metrics, and real-world datasets.
• Ability to balance model quality, latency, cost, reliability, and maintainable production code.

Culture & Benefits

• Small, high-talent-density, hands-on team.
• Collective decision-making and fast execution.
• Emphasis on structure, independent judgment, ownership, and continuous learning.
• Remote work with virtual and/or onsite interviews.

Hiring process

• Applications are evaluated by technical team members.
• If there is a potential fit, expect 3, and no more than 4, interviews.
• A prompt hiring decision follows the interview process.