Senior Machine Learning Engineer

2 weeks ago


New York, United States NxT Level Full time

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. 

If you're excited about the future of video, audio, video content moderation, and more then you should reach out.

Core Challenges: 

  • Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly.
  • Radio Hardware: Development of proprietary software-defined radio-based devices to capture all radio dispatches in every major city, covering both analog and digital signals.

Preferred Qualifications

  • A degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
  • A strong theoretical foundation in core Machine Learning concepts and techniques.
  • Proficiency in fundamental principles of Linear Algebra, Statistics, and Probability.
  • Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
  • Familiarity with DL software frameworks like TensorFlow or PyTorch.
  • At least 3 years of experience leading and implementing effective ML solutions in large scale production environments.

Technology Environment: Go for Transactional Systems and Python for Analytic Systems running on a Kubernetes Infrastructure in GCP. Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and Typescript.



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