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Machine Learning Engineer

Zoom

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Job Summary


Job Type
Permanent

Seniority
Senior (≥ 6 yrs)
Mid (3-5 yrs)

Years of Experience
At least 5 years

Tech Stacks
TensorFlow
Kubeflow
Analytics
PyTorch
Airflow
C++
C
Python
Java

Job Description


After a massive successful 2020, It is an exciting phase for us at Zoom and we are now looking to set up a new R&D team in Singapore.

What Will You Be Doing

  • Build and deploy state of the art ML models for NLP use cases
  • Build large scale training and inference pipelines
  • Build and scale realtime ML services which enable Zoom’s products
  • Take ML models from Research all the way to production
  • Build metrics, dashboards to measure both ML and system performance
  • Work closely with the Research teams build required tools and services to make them productive
  • Work closely with the product and operations teams to integrate ML services seamlessly into the products
  • Work closely with various teams on data acquisition, cleanup and related tooling

Why You Should Consider This Role

  • You will be a founding member of the team and have an opportunity to build/start from scratch
  • An opportunity to solve some cutting-edge AI problems and deploying models that constantly advance the state of the art.
  • A Flexibility in to drive the vision and direction of our products and services
  • An opportunity to create an impact in the 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
Qualifications

  • 5+ years of experience with Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • Strong coding skills in Python, C/C++, or Java
  • Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar
  • Experience in Machine Learning toolkits (TensorFlow, PyTorch)
  • Familiarity with large-scale data processing and distributed systems
  • Proven mathematical knowledge; understanding of machine learning, statistics
  • Relevant professional experience with applied data analytics and predictive modelling
Bonus Qualifications

  • Experience framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc
  • Experience in distributed training and performance optimization on GPU’s
  • Expertise in crafting Data Models for high performance and scalability
  • Autoscaling, containers, performance tuning and optimization
  • Experience with Deep Learning for NLP
  • Strong verbal and written communication skills

Explore Zoom

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  • Find us on social at the links below and on Instagram

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