Machine Learning Engineer

Machine Learning Engineer

As a Machine Learning Engineer on our German R&D team, your ideas will become product features. You will work on advanced AI and Machine Translation challenges and deploy models that push the state of the art. You will help shape the vision and direction of our products and services. Your work will impact society, as the models you build and recommend will be used by billions of users. You will join a highly collaborative and inclusive team.

The 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, combining cutting-edge AI research, scalable engineering, and user-centered innovation. They are responsible for building state-of-the-art translation models to deliver high-quality, 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

• Building and deploying state-of-the-art machine learning models (e.g. LLMs) for machine translation use cases.
• Contributing to maintaining and enhancing our large-scale training and inference pipelines and real-time ML services which enable Zoom's products.
• Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
• Working closely with the team to build the required tools and services to enhance the Zoom machine translation services.
• Working closely with the product and operations teams to integrate ML services seamlessly into the products.
• Working closely with various teams on data acquisition, cleanup, and related tooling.

What We're Looking For

• Bring 5+ years of experience; or 2+ years experience with a Master's degree, or a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Demonstrate depth and breadth in state-of-the-art machine learning methods, LLM training, and post-training techniques (e.g., preference optimization, reinforcement learning with human feedback). Consider experience with machine translation and speech translation 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.

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.

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.

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.

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.