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Remote Audio Signal Processing Machine Learning Jobs in Houston, TX

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Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ...

US Remote This resource will work specifically on anomaly detection within one of our plant ... Understanding of machine learning and deep learning models to select and implement for prediction ...

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... machine-learning models, and automating various processes. While in this role, you will help guide ...

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Remote Audio Signal Processing Machine Learning information

See Houston, TX salary details

$28.2K

$80.7K

$163.8K

How much do remote audio signal processing machine learning jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote audio signal processing machine learning in Houston, TX is $80,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $107,900.00 per year, depending on experience, location, and employer.

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 Houston, TX? For Remote Audio Signal Processing Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Houston, TX look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities near Houston, TX with the most Remote Audio Signal Processing Machine Learning job openings:
Machine Learning Guru (Autonomous Navigation)**

Machine Learning Guru (Autonomous Navigation)**

Talentry, LLC

Houston, TX • Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

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Job description

Senior/Principal Machine Learning Engineer

200-300k

Remote position possible

Description

  • Develop solutions for autonomous driving, from experimentation to full commercialization.
  • Explore new ideas using deep learning, neural networks, and large foundation models.
  • Work on object detection, tracking, prediction, planning, control, online mapping, and more.
  • Manage the full life cycle of machine learning projects, including data analysis and model verification.
  • Collaborate with product, simulation, and algorithm teams to integrate machine learning technologies.

Qualifications

  • Advanced degree (Ph.D. or Master’s) in computer science, computer engineering, mathematics, physics, or related field.
  • In-depth knowledge and experience in machine learning and/or computer vision, employing bleeding-edge techniques.
  • Knowledge of generative models, model distillation, or model inference acceleration.
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms.
  • Ability to work independently in a fast-paced environment and collaborate on complex projects.
  • A track record of research publications in top conferences/journals is preferred.

Benefits

  • Work on cutting-edge autonomous navigation technology.
  • Opportunity to contribute to world-first innovations.
  • Vibrant and fast-paced work environment.
  • Exposure to cross-team projects and collaboration.
  • Chance to transform dreams into reality in the future of transportation.
  • Excellent salary and benefits – chance to get in on the ground floor!

** To apply, please answer all screening questions completely. Incomplete questionnaires will result in automatic rejection. **