Senior Machine Learning Engineer

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Berlitz US

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1878

📚 Education

💼 Consulting

🤝 B2B

Education • Consulting • B2B

Berlitz US is the United States arm of Berlitz Corporation, a language training and cultural‑services provider. It delivers language instruction for adults, children and teens through private and group classes, online/on‑demand and in‑person programs, plus study‑English-in-the-USA offerings. Berlitz also provides corporate and government language training, cultural consulting, language testing and translation services, using its long‑established Berlitz Method (an immersive approach) to tailor flexible programs for individuals and organizations.

📋 Description

• Build, evaluate, and productionize models across the machine-learning lifecycle, from classical/statistical approaches to fine-tuning small, edge-friendly transformers • Design and operate hosted LLM integrations, including prompt and evaluation design, LLM-as-judge patterns, provider routing/failover, and cost/latency tradeoffs • Build and run models on-device and in the cloud, choosing between them based on latency, privacy, and cost • Work across speech (ASR/TTS), NLP, and computer-vision pipelines • Set up, maintain, and update production ML services, including serving constraints, monitoring, drift detection, and connecting offline model scores to learner outcomes • Build and maintain ETL pipelines using storage and databases, including data cleaning, transformation, and noise reduction • Work cross-functionally with mobile and platform teams, providing model-serving APIs, evaluation harnesses, and AI architecture guidance

🎯 Requirements

• 5+ years building and shipping machine-learning systems to production, spanning classical ML and applied deep learning • Rust or Go preferred; C++ valued • Python or Julia for data science, modeling, and exploratory analysis • Production experience with at least one of PyTorch, JAX, or TensorFlow • Git experience for version control, code review, and collaboration • Daily hands-on use of AI coding tools or agents • Hands-on experience integrating hosted LLM providers into production systems, including prompting, evaluation, cost/latency tradeoffs, and multi-provider routing • Experience building models from scratch and fine-tuning pretrained models • Ability to explain modeling tradeoffs to engineers and product impact to non-technical stakeholders • Experience with model compression, quantization, or distillation for on-device deployment is nice to have • Experience in NLP, speech (ASR/TTS), or computer vision is nice to have • Data ETL and manipulation experience with S3 or similar object storage, Postgres or other databases, data transformation, and noise reduction is nice to have • Legal right to work in Germany