Back to all jobs

Engineering Manager - NLP/Machine Learning/AI

USA
Zoom
ago
remote fulltime ASR TTS NLP

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 NLP areas like STT, translation, summarization, sentiment analysis, TTS, and other interesting challenges that are challenging at Zoom's scale. You will be one of the founding members of the team, you will have a unique opportunity to start from scratch and drive the direction of our products.

  • Ensure the ML team meets the needs of our internal and external customers and scale robust ML models.

  • Lead and grow a team of exceptional ML Engineers, focusing on enhancing, measuring, and recognizing performance

  • Drive the technical and organizational roadmap for the ML Engineering team

  • Facilitate and participate in the preparation of ML data sets

  • Guide the ML Engineer team in implementing fine tuning of models

  • Provides leadership in advanced engineering, ML science and analytics in the development of current or future products or technologies

Qualifications

  • 3+ years of experience managing a ML team with a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

  • Lead and grow a team of exceptional ML Engineers, focusing on enhancing, measuring, and recognizing performance

  • Hands on experience in Machine learning tools and techniques

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

  • Track record of setting roadmaps, priorities and measuring the progress in achieving them

  • Experience with one or more of the following: Speech, translation, text understanding, classification, ranking systems or similar

  • Proven familiarity with NLP approaches like W2V or Bert, which includes identifying the right KPIs and objective functions

  • Familiarity with large-scale data processing and distributed systems

  • Proven mathematical knowledge; understanding of machine learning, statistics

 

Apply Now