Senior Machine Learning Engineer (Remote)

Zencastr
New York
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Python","PyTorch","TensorFlow","Scikit-Learn","Docker","Kubernetes","Google Cloud","AWS","Modal","Speech processing"]

Join a team building end-to-end AI systems and core ML microservices at Zencastr. Work on large-scale machine learning for speech processing to improve podcast creation and user satisfaction, prototyping and productizing ML features alongside researchers and engineers, with a focus on audio/text capabilities and production-ready systems.

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FursaFursa
Zencastr
Zencastr
1 year ago

Senior Machine Learning Engineer (Remote)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Join a team building end-to-end AI systems and core ML microservices at Zencastr. Work on large-scale machine learning for speech processing to improve podcast creation and user satisfaction, prototyping and productizing ML features alongside researchers and engineers, with a focus on audio/text capabilities and production-ready systems.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • •Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr’s various ML services
  • •Drive forward audio and text capabilities within the ML team
  • •Work with some of the brightest minds in signal processing
  • •Collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction

Key Requirements

  • •A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • •5+ years experience in Python
  • •3+ years experience in machine learning research, with a focus on speech
  • •3+ years experience training or deploying neural networks
  • •Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
Experience:5+ yearsSpeech processingAIPodcasting
Education:Master's
Skills:PythonPyTorchTensorFlowScikit-LearnDockerKubernetesGoogle CloudAWSModalSpeech processing
Tech Stack:PythonPyTorchTensorFlowScikit-LearnDockerKubernetesGoogle CloudAWSModal

Company Brief

Zencastr
Provides a browser-based podcast and remote interview recording platform that captures high-quality multitrack audio and video locally, syncs files to the cloud, and offers production tools to simplify podcast creation and post-production.
Industry: Influencer & Creator Economy
WebsiteLinkedIn