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Temporary Machine Learning Testing Jobs (NOW HIRING)

Spotify

Machine Learning Engineer

... testing, evaluation, etc., both inside the team as well as throughout the organization. Qualifications : Required : • You have a strong background in machine learning, enjoy applying theory to ...

Micron Technology

Machine Learning Engineer

Boise, ID · On-site

Position requires experience in: 1. Building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms 2. Machine learning frameworks ...

Ai Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Motorola

Machine Learning Engineer

Los Angeles, CA

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

AI Squared

Machine Learning Engineer

Washington, DC

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144.38K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... verification testing. This role also involves support for experimentation and fielded systems ...

Anytime AI

Be Seen First

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms. Requirements * M.S. or higher in Computer Science, Machine Learning, AI, or related fields. * 3+ years ...

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Temporary Machine Learning Testing information

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

As of Jun 1, 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 test AI models, and their role involves understanding complex algorithms and data handling. While AI automation tools can assist with certain tasks, MLEs are essential for creating, fine-tuning, and maintaining AI systems, making complete replacement unlikely in the near term. Skills in programming, data analysis, and model evaluation remain critical for MLEs working alongside AI technologies.

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.

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 May 2026, with employment types broken down into 25% Full Time, 66% Part Time, 3% Temporary, 5% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Spotify

Remote

Full-time

Posted 18 days ago

Job description

Job Summary:
Spotify is a leading company in the music streaming industry, known for its innovative features like Blend and Discover Weekly. They are seeking a Machine Learning Engineer to join their Personalization team, focusing on enhancing user satisfaction through advanced recommendation systems and collaboration with cross-functional teams.
Responsibilities:
• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
• Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems.
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization.
Qualifications:
Required:
• You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes.
• You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders.
• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
• Experience with PyTorch, Ray, Hugging Face and related tools is required.
• You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS.
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation.
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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