Senior Machine Learning Engineer

Overview

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 belon

What you'll do

• 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.

Requirements

• Practical experience with Engineering & Technology.
• Experience level: 50+ yrs.
• Strong written and verbal communication in English.
• Comfortable working remotely with distributed teams.

Skills