ZipRecruiter

Log In

1

Temporary Machine Learning Testing Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... domain shift testing, QA, A/B testing and so on. • Maintain production-ready code with ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Apple

Machine Learning Engineer

Cupertino, CA

$216K - $324K/yr

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive ... Conduct rigorous model evaluation, testing, and iteration to continuously improve model quality and ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed. * Stay current with trends and developments in the AI, machine learning, and healthcare ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities ...

AISquared

Machine Learning Engineer

Washington, DC · On-site

... Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ... workflows, integrating testing, validation, and automated deployment. • Optimize runtime ...

Apple

Machine Learning Engineer

Austin, TX · On-site

$134K - $249K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Machine Learning Engineer

Austin, TX · On-site

$134K - $249K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Machine Learning Engineer

Austin, TX · On-site

$134K - $249K/yr

... and testing workflows.","responsibilities":"Collaborate with other MLEs to build scalable ... Experience building data processing pipelines and large scale machine learning systems with ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

... testing frameworks to validate model performance and product impact • Optimize ML systems for ... machine learning systems in production environments • Strong Python programming skills and ...

InstantServe LLC

Machine Learning Engineer

Machine Learning Engineer Location: Long Island City, NY 11101 (Onsite 4 Days/week) Type: Permanent ... Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale.

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Temporary Salary: $80-90 Hourly up to $90.00/hr Start Date: Jul 1, 2026 A leading technology ... Create migration packages for system testing, user testing, and implementation. * Provide quality ...

next page

Showing results 1-20

All JobsMachine Learning Testing JobsTemporary Machine Learning Testing Jobs

Temporary Machine Learning Testing information

See salary details

$13

$22

$31

How much do temporary machine learning testing jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for temporary machine learning testing in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating and fine-tuning complex models. AI is a tool that complements their work rather than replacing the role entirely, and skills in programming, data analysis, and model deployment remain important for MLEs.

What is the difference between Temporary Machine Learning Testing vs Data Scientist?

AspectTemporary Machine Learning TestingData Scientist
CredentialsTypically requires knowledge of machine learning tools, programming, and basic statisticsRequires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields
Work EnvironmentProject-based, often temporary roles focused on testing models and algorithmsLong-term, strategic roles involving data analysis, model development, and business insights
Industry UsageCommon in tech, finance, and research sectors for specific testing tasksWidely used across industries for data-driven decision making

Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.

Can I learn ML in 3 months?

Learning machine learning in three months is possible for some individuals, especially with prior programming experience and dedicated study. Focused coursework, practical projects, and familiarity with tools like Python and libraries such as scikit-learn can accelerate learning, but mastering complex concepts may require longer. For a role like temporary machine learning testing, foundational knowledge and hands-on experience are key, and ongoing learning is often necessary.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the complexity and impact of the work in the AI industry.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Testing role, jobs that require complex human judgment, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as AI ethics specialists, creative designers, and strategic consultants. Skills in critical thinking, problem-solving, and domain expertise will remain valuable as AI tools continue to evolve.
More about Temporary Machine Learning Testing jobs
What cities are hiring for Temporary Machine Learning Testing jobs? Cities with the most Temporary Machine Learning Testing job openings:
What are the most commonly searched types of Machine Learning Testing jobs? The most popular types of Machine Learning Testing jobs are:
What states have the most Temporary Machine Learning Testing jobs? States with the most job openings for Temporary Machine Learning Testing jobs include:
What job categories do people searching Temporary Machine Learning Testing jobs look for? The top searched job categories for Temporary Machine Learning Testing jobs are:
Temporary Machine Learning Testing jobs near you
Infographic showing various Temporary Machine Learning Testing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apex Informatics

Remote

Other

Posted 26 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.

Apply