zoom
Machine Learning Engineer
At a Glance
- Location
- (Deu), Germany
- Work Regime
- remote
- Employment
- Full time
- Experience
- 5+ years
- Posted
- 2026-07-29
Key Requirements
Required Skills
Requirements
Demonstrate depth and breadth in state-of-the-art machine learning methods.
This includes neural network training, LLM training, and post-training techniques (e.g., preference optimization and reinforcement learning with human feedback).
Have experience building deep learning models in PyTorch.
Show advanced coding skills in Python, C/C++, or Java.
Apply hands-on experience with machine learning model development using frameworks such as PyTorch, TensorFlow, or JAX.
Work with large-scale text and/or audio data processing and distributed systems.
Compensation & Benefits
Minimum:
€80,200.00

Maximum:
€130,700.00
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Responsibilities
Developing scalable ML pipelines for large-scale data processing and model deployment.
Handling, curating, and synthesizing training and testing data while automating pipelines for efficient data processing.
Collaborating with researchers and engineers to integrate models into production environments.
Experimenting with new techniques in deep learning, LLM fine-tuning, and model alignment to drive innovation and improve system capabilities.
Analyzing model performance to identify areas for continuous improvement.
Contributing to research initiatives through prototyping, experimentation, and publishing where applicable.
Team
The Speech and Text Translation team at Zoom is dedicated to making global communication seamless. This friendly team of experienced researchers develops and deploys advanced multilingual AI systems. They combine cutting-edge AI research, scalable engineering, and user-centered innovation to build state-of-the-art speech and language processing systems. Their goal is to deliver high-quality, multimodal, real-time, and offline translations for both speech and text across Zoom's products. The team collaborates closely with various departments and teams globally within Zoom to achieve their mission.