Machine Learning Engineer
- Published on
About the Role
Immigration sponsorship is not available for this position. In this role, you will work on complex issues where analysis of situations or data requires deep evaluation. Your main responsibilities will include building and deploying state-of-the-art ML models for NLP and LLM use cases, designing and developing scalable real-time ML services, and defining metrics and dashboards to monitor AI service performance. Collaboration is key, as you will work closely with the Research, product, and operations teams to ensure smooth integration and required tooling.
About the Candidate
We are looking for candidates who possess a Master's degree in Computer Science, Machine Learning, Computational and Mathematical Engineering, or a related field, or an equivalent foreign degree. A minimum of 1 year of experience in this role or a related occupation is required. You should have experience in: coding in Python; Natural Language Understanding, Natural Language Generation, intent detection, and training or fine-tuning large language models. Familiarity with Machine Learning toolkits such as TensorFlow, PyTorch, and Spacy, distributed training on GPUs, and experience with Microservices, Docker, Kubernetes, and AWS is also required.
About the Company
Zoom Communications, Inc. is committed to connecting people through a robust collaboration platform that includes products such as Zoom Contact Center, Zoom Phone, and Zoom Webinars. We strive to help teams work more effectively and foster connections that improve productivity.
Company Culture and Benefits
Our structured hybrid work approach accommodates both in-office and remote work environments, allowing flexibility for our employees. Our benefits program is designed to promote physical, mental, emotional, and financial health, ensuring a supportive workplace that prioritizes our employees' well-being. We are dedicated to maintaining a diverse and inclusive workplace where all candidates are evaluated fairly based on their skills and experiences.
Ways of Working
We recognize that great work happens when our team feels supported and empowered. We are committed to fair hiring practices and support candidates through the interview process, including providing accommodations for those who require them. Take your time to ensure your application is a good fit; we continuously review submissions and welcome applicants at their own pace.