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Fairness Machine Learning Jobs (NOW HIRING)

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... fairness and responsible AI use in music-related applications. What You Bring • Proven software ...

Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles. Solid ...

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Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international ... Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles. Solid ...

... fairness. * Typically requires a Master's degree in applied machine learning, artificial ... intelligence, or data science. A PhD is preferred. About Adobe Adobe empowers everyone to create ...

... fairness. * Typically requires a Master's degree in applied machine learning, artificial ... intelligence, or data science. A PhD is preferred. About Adobe Adobe empowers everyone to create ...

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

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Senior Machine Learning Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

Senior Machine Learning Engineer

Bethesda, MD · On-site

$111K - $153K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

New

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

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Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance ... Knowledge of model explainability, fairness, and governance in regulated industries. Why Join GEICO ...

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Fairness Machine Learning information

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$42.6K

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How much do fairness machine learning jobs pay per year?

As of Jun 5, 2026, the average yearly pay for fairness machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
Infographic showing various Fairness Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 40% Full Time, 37% Part Time, 10% Temporary, 6% Contract, and 6% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Other

Posted 8 days ago


Job description

Applied Machine Learning Engineer | Music Software (Multiple Roles open)
Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash
Employment Type: Contract (3 months +, potential for extension) Location: Remote
We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production-ready API code). In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.
Key Responsibilities:
• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.
• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.
• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.
• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.
• Build scalable, maintainable data pipelines to handle audio and other unstructured data.
• Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems.
• Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.
• Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications.
What You Bring
• Proven software development experience, ideally in Python (other languages a plus).
• Experience implementing and deploying ML models, using PyTorch framework.
• Familiarity with AWS cloud environment for deploying and scaling ML solutions.
• Ability to preprocess and model unstructured data, especially audio.
• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems.
• A good understanding of music, production, or audio technology processes (or a strong interest in music)
• Familiarity with GenAI architectures like transformers, LLMs, or diffusion models.
• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.
• Clear and effective communication with technical and non-technical stakeholders.
• Ability to work independently and remotely while collaborating closely with cross-functional teams.