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Remote Audio Machine Learning Jobs in Texas (NOW HIRING)

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline Must have * Understanding of various machine learning algorithms (e.g. SVM, Random Forests ...

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All JobsAudio Machine Learning JobsRemote Audio Machine Learning JobsRemote Audio Machine Learning Jobs in Texas

Remote Audio Machine Learning information

What is a remote audio machine learning?

A Remote Audio Machine Learning job involves using machine learning techniques to analyze, process, or generate audio data while working from a remote location. Professionals in this field develop algorithms for tasks such as speech recognition, music classification, noise reduction, or audio synthesis. They often work with large datasets, build and train models, and collaborate with teams online. These roles typically require skills in programming, signal processing, and experience with machine learning frameworks.

What are the key skills and qualifications needed to thrive as a remote audio machine learning engineer?

To thrive as a Remote Audio Machine Learning Engineer, you need strong foundations in digital signal processing, machine learning algorithms, and programming (often Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, and audio processing libraries (e.g., LibROSA), as well as experience with cloud platforms, is highly valuable. Excellent problem-solving skills, self-motivation, and clear remote communication are essential soft skills for collaborating across distributed teams. These competencies enable the development of robust, innovative audio ML solutions while ensuring effective teamwork and project delivery in a remote setting.

How does a remote audio machine learning role typically collaborate with cross-functional teams, and what communication tools are commonly used?

In a Remote Audio Machine Learning position, collaboration with cross-functional teams such as software engineers, data scientists, and product managers is essential. Regular communication is maintained through tools like Slack, Zoom, and project management platforms such as Jira or Trello. Team members often participate in virtual stand-ups, sprint planning sessions, and code reviews to ensure alignment on project goals and timelines. Effective asynchronous communication and clear documentation are especially important in remote settings to keep everyone informed and foster a productive workflow.

What is the difference between Remote Audio Machine Learning vs Remote Audio Engineer?

AspectRemote Audio Machine LearningRemote Audio Engineer
Required CredentialsBackground in machine learning, data science, or AI; often a degree in computer science or related fieldsAudio engineering, sound design, or music production degree or certification
Work EnvironmentPrimarily focused on developing algorithms, data analysis, and model training, often in a tech or research settingRecording, mixing, editing audio, often in studios or remote production setups
Employer & Industry UsageTech companies, research labs, AI startups working on audio recognition or enhancementMusic, film, broadcasting, and media production companies

Remote Audio Machine Learning specialists focus on developing algorithms to process and analyze audio data, while Remote Audio Engineers handle the practical aspects of recording and editing sound. Both roles may collaborate but serve different functions within the audio industry.

What are the most commonly searched types of Audio Machine Learning jobs in Texas?

The most popular types of Audio Machine Learning jobs in Texas are:

What are popular job titles related to Remote Audio Machine Learning jobs in Texas?

For Remote Audio Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Audio Machine Learning jobs in Texas look for?

The top searched job categories for Remote Audio Machine Learning jobs in Texas are:

What cities in Texas are hiring for Remote Audio Machine Learning jobs?

Cities in Texas with the most Remote Audio Machine Learning job openings:

Remote Audio Machine Learning jobs near you
Infographic showing various Remote Audio Machine Learning job openings in Texas as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 100% Remote job distribution.

AI Lead Engineer

Delan Associates, Inc.

Dallas, TX • On-site, Remote

$101K - $133K/yr

Contractor

Posted 15 days ago

Job description

AI Lead Engineer
Dallas, TX (REMOTE)
15+ Years
Must-Have Skills
* Artificial Intelligence (AI) & Machine Learning (ML)
* Deep Learning
* Generative AI (GenAI)
* Large Language Models (LLMs)
* Prompt Engineering
* Retrieval-Augmented Generation (RAG)
* Embeddings & Vector Databases
* Fine-tuning LLMs
* Python
* TensorFlow
* PyTorch
* Scikit-learn
* Data Preprocessing & Feature Engineering
* Model Training, Validation & Evaluation
* Statistics & ML Algorithms
* MLOps
* CI/CD Pipelines
* Docker
* Kubernetes
* REST APIs & Microservices
* Cloud Platforms (Azure / AWS / GCP)
* AI Model Deployment & Productionization
* Security, Privacy & Responsible AI
* Problem Solving & Analytical Skills
* Agile/Scrum
Preferred (Good to Have):
* Retail domain experience
* Enterprise Transformation projects
* Model Governance
* Stakeholder Management
* Excellent Communication Skills

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