Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing core ML systems for a proactive AI smart assistant with an accent on multi-step reasoning, persistent context, and real-world task completion. Focus on designing practical, production-ready solutions that handle non-deterministic model behavior and ensure reliability at scale.

Location: Remote (Switzerland)

Company

A high-talent density team building a proactive AI assistant designed to bring intelligence to everyday workflows and user tasks.

What you will do

• Build and own core ML systems for a long-horizon AI product.
• Manage end-to-end workflows including data preparation, training, evaluation, and inference.
• Translate research concepts into reliable, production-grade systems.
• Debug model failures and system issues using production signals.
• Iterate rapidly by measuring outcomes and refining system performance.
• Mentor peers and provide technical judgment to elevate engineering standards.

Requirements

• Proven experience building and shipping ML systems used by real users.
• Deep understanding of modern ML model behavior in production environments.
• Strong production-quality coding skills with a systems-thinking mindset.
• Ability to work independently, take ownership, and drive projects to completion.
• Excellent communication skills and a fast-learning, iterative approach.
• Proficiency in Python, PyTorch or JAX, and GPU-based training systems.

Culture & Benefits

• High-talent density, hands-on team environment.
• Collaborative decision-making process with a focus on rapid execution.
• Balance between shipping high-quality work and continuous learning.
• Opportunity to build a product with global impact.

Hiring process

• Technical evaluation by team members.
• 3 to 4 interviews conducted via virtual meetings or onsite.
• Transparent and efficient decision-making process.