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Machine Learning Engineer - Natural Language Understanding (NLU)

USA
Zoom
ago
remote fulltime ASR MLOps NLP

About Us

You will be part of a team whose focus is to solve cutting edge AI problems and deploying models that constantly advance the state-of-the-art. You will be working across various Natural Language Processing (NLP) areas like Speech to Text, translation, summarization, sentiment analysis, Text to Speech (TTS), Conversational AI and other interesting challenges that are challenging at Zoom's scale.

You will be one of the early members of the team, you will have a unique opportunity to drive the direction of our products.

  • Research, build and deploy state of the art Machine Learning models for Natural Language Processing use cases - most importantly Conversational Intelligence

  • Build large scale training and inference pipelines

  • Build and scale realtime Machine Learning (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

  • Build productivity tools and services for Research teams. This includes working on various tools like S3, MLFlow, Kubernetes, Docker, Pytorch etc

  • Integrate the ML services with product and operations teams, Salt stack, Kibana etc

Qualifications

  • Undergraduate degree in Computer Science, Electrical Engineering or related degree

  • 2 plus years relevant work experience

  • Strong coding skills in Python, C/C++, or Java

  • Experience with one or more of the following: Natural Language Understanding, speech analytics, chatbot, call summarization, intent classification, named entity recognition , conversational intelligence, Conversational AI, topic modeling, dialogue management

  • 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 modeling

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

  • Masters/PhD degree Computer Science, Machine Learning or related degree

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