Machine Learning Engineer

3 days ago

Singapore ZVC SINGAPORE PTE. LTD. Full time

**What You’ll Be Doing**:
The role will entail working alongside a friendly team of experienced researchers to develop machine translation and multilingual AI models and deploy them to our online video conference products.

After a massively successful 2020, it is an exciting phase for us at Zoom and we are now looking to strengthen our R&D team in Singapore.

Specifically:

- 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.
- 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.

**Why you should consider this role**:

- You will be a member of an R&D team having the opportunity to transform your ideas into products.
- An opportunity to solve some cutting-edge AI and MT problems and deploy models that constantly advance the state of the art.
- Flexibility to contribute to the vision and direction of our products and services.
- An opportunity to create an impact in society, where billions of users will be using the final products for which the models were deployed and recommended by you.
- Enjoy a great culture of inclusivity and collaboration.

**Basic Qualifications**:

- 5+ years of experience with a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Depth and breadth in state-of-the-art approaches in machine translation.
- Strong coding skills in Python, C/C++, or Java.
- Hands-on experience in machine learning model deployment and toolkits (TensorFlow, PyTorch).
- Familiarity with large-scale data processing and distributed systems.
- Proven mathematical knowledge; understanding of machine learning, and statistics.
- Effective working in a team environment.

**Preferred Qualifications**:

- Experience frameworks such as MLflow, Kubernetes, TFServing, etc.
- Experience in distributed training and performance optimization on GPUs.
- Excellent creative problem-solving skills and the ability to invent.
- Experience with Deep Learning for NLP.
- Strong verbal and written communication skills.
- Publications in top-tier conferences such as ACL, EMNLP, ICML, etc.

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