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Remote Audio Signal Processing Machine Learning Jobs in New York

Machine Learning Engineer

New York, NY ยท On-site +1

$148K - $212K/yr

Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in ... You care about agile software processes, data-driven development, reliability, and disciplined ...

Senior Research Scientist - Music

New York, NY ยท On-site +1

$107.80K - $137.30K/yr

You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic ...

Machine Learning Engineer

New York, NY ยท Remote

$150K - $250K/yr

Familiarity with text processing pipelines, semantic embeddings, and vector search. * Clear ... Vision, audio, OCR, or deepfake classification. * Designing multilingual embedding systems with ...

Staff Machine Learning Engineer

New York, NY ยท On-site +1

$227.50K - $324.99K/yr

Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various ... You care about agile software processes, data-driven development, reliability, and disciplined ...

Experience with data processing and data analytics. * Experience with vector databases ... Knowledge of machine learning techniques and algorithms, including fine tuning processes and ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... We have ways to request reasonable accommodations during the interview process and help assist in ...

Machine Learning Engineer

New York, NY ยท On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... We have ways to request reasonable accommodations during the interview process and help assist in ...

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Remote Audio Signal Processing Machine Learning information

What is the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in New York? For Remote Audio Signal Processing Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in New York look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in New York are:
What cities in New York are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities in New York with the most Remote Audio Signal Processing Machine Learning job openings:
Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY โ€ข On-site, Remote

$114.30K - $157K/yr

Full-time

Posted 13 days ago


Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will 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.
What You'll Do..
  • 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

If This Describes You..
  • 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 with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?