Machine Learning Engineer
What you can expect
As a Machine Learning Engineer on our R&D team in Germany, you’ll turn ideas into impactful product features. You’ll work on advanced AI challenges such as speech-to-text, translation, and large language model training that drive real innovation across Zoom’s products.
You’ll design, train, and deploy models that advance the state of the art and shape the future of communication technology. Your work will directly influence how millions of people connect and collaborate every day. You’ll be part of a collaborative and inclusive team at Zoom’s Karlsruhe Center of Excellence for Multilinguality, where research meets real-world impact.
About the Team
The Speech Processing and Machine 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.
Responsibilities
- Designing, training, evaluating, and optimizing machine learning models for speech and language processing tasks. 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. Implementing advanced evaluation frameworks for translation scenarios, including streaming speech-to-text and speech-to-speech translation.
- Working with advanced speech synthesis systems, customizing and integrating them into existing systems to enhance performance and user experience. 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. Maintaining high standards of code quality, reproducibility, and technical documentation.
- Engaging in cross-functional projects with global teams to deliver innovative AI solutions to market. Supporting collaboration and knowledge sharing across research and engineering teams.
- Ensuring systems and processes align with organizational goals for scalability, efficiency, and innovation. Continuously refining methods to enhance model accuracy and deployment efficiency.
What we’re looking for
- Bring 2+ years of experience; or a Master’s/Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- 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). Consider experience with speech transcription, machine translation, speech translation or speech synthesis as advantageous, though not required.
- 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.
- Use proven mathematical knowledge and understanding of machine learning and statistics.
- Contribute effectively within a team environment.
- Bring the following, which would be nice to have: experience building deep learning models in PyTorch. Train and evaluate multilingual or multimodal LLMs, and optimize distributed training on GPUs. Also, communicate clearly in writing and verbally, and have a record of publishing in top-tier conferences such as COLM, NeurIPS, ACL, EMNLP, and ICLR.
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.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.