Senior Machine Learning Engineer

We're building a new global Berlitz, and this is your opportunity to help shape it. Nearly 150 years of expertise, meeting the ambition and technology to power a new era of learning.

If you are the kind of person who thrives in a fast-paced environment, isn’t afraid of a blank page, and is excited to help shape the future of a global company undergoing a significant transformation, you might belong at Berlitz!

We're looking for a Senior Machine Learning Engineer to build the AI services behind our global online learning platform, giving learners real-time speech practice, conversation, and feedback.

You'll own the models and AI integrations powering our speaking-practice and evaluation features: classical and fine-tuned small models, edge models, cloud-based models, and integrations with external providers.

This is a coding role: you'll write, maintain, and update the ML services that ship to production, using AI coding tools as part of your daily workflow.

You'll work cross-functionally with the mobile and platform teams, providing model-serving APIs, evaluation harnesses, and AI architecture guidance, with high autonomy and low bureaucratic friction.

You'll work across the full perception stack (speech, text, CV ), with room to go deep on the modalities most relevant to what we're building next. Core Responsibilities Modeling & evaluation.

Build, evaluate, and productionize models across the ML lifecycle, from classical/statistical approaches to fine-tuning small, edge-friendly transformers. Evaluation is metric-driven, not just accuracy, with human-agreement baselines where applicable. GenAI & LLM integration.

Design and operate integrations with hosted LLM providers: prompt and evaluation design, LLM -as-judge patterns, provider routing/failover, and cost/latency tradeoffs. Edge & cloud models. Build and run models both on-device and in the cloud, and choose deliberately between the two based on latency, privacy, and cost.

Multimodal perception. Work across spee