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Remote Audio Signal Processing Machine Learning Jobs in Florida

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

... processes and guides the team towards rapid deployment and scaling up of our Machine Learning ... The ability to work collaboratively with remote teams. * Experience with containerization using ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

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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 Florida? For Remote Audio Signal Processing Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Florida look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Florida are:
What cities in Florida are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities in Florida with the most Remote Audio Signal Processing Machine Learning job openings:

$70/hr

Other

Posted 2 days ago


Job description

Senior Software Engineer, Machine Learning
Notes:
Senior Software Engineer, Machine Learning (638)
Experience: 4-8 yrs
Remote; The team is currently working across ET and PT time zones
Rate: $70/hr
7 Months; Nov 11, 2024 - Jun 20, 2025
Specific tool requirements & programs/software used? Python, Tensorflow, Scala
Interview process: Phone Screen, Technical
Technical Skills:
Must Have
Experience in machine learning techniques, pipelines and applications
Experience with writing robust, idiomatic and easy-to-understand backend code (Python, Java, Scala).
Experience writing scalable and performant data pipelines on distributed systems (e.g. Hadoop, Spark) - preference in candidates with experience in Airflow
Nice To Have
Experience with cloud platforms like GCP or AWS
Familiar with ML lifecycle: training, deploying, monitoring, debugging, and iterating on production machine learning systems.
Familiar with modern machine learning frameworks such as TensorFlow or Pytorch.
Requirements
Must-Haves

  • Solid engineering & coding skills and proficiency in at least one programming language of Python, Scala, or Java.
  • Experience with writing scalable and performant data pipelines on distributed systems
  • Familiar with machine learning techniques and applications

Nice-to-Haves
  • Hand-on experience in machine learning frameworks & technologies such as Tensorflow / TFX, Pytorch, Kubeflow.
  • Experience with the ML lifecycle: training, deployment, monitoring, debugging and iterating on production machine learning systems
  • Familiar with Google Cloud Platform and products such as Dataflow, Vertex AI