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Temporary Machine Learning Testing Jobs in Texas

Machine Learning Engineer This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and ...

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... and testing workflows. Bachelor's degree in Computer Science, Statistics, Mathematics with equivalent experience.5+ years of related experience building high throughput scalable applications or ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

As a Senior Machine Learning Engineer, you'll own impactful problems end-to-end-from data ... Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

... testing, and code review * 5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production ...

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Temporary Machine Learning Testing information

What jobs pay $2000 a day?

In the context of temporary machine learning testing roles, high daily pay rates such as $2000 are typically associated with specialized consulting, freelance projects, or senior contract positions that require advanced skills in machine learning, data analysis, and programming. These roles often involve short-term contracts, high expertise, and may require certifications or extensive experience. Such high-paying opportunities are less common and usually found in consulting firms or as independent contractors rather than standard employment positions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles may involve developing complex models, overseeing AI projects, and utilizing tools like Python, TensorFlow, or PyTorch, with compensation reflecting expertise and impact.

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.

What job makes $10,000 a month without a degree?

A temporary machine learning testing role can potentially pay $10,000 a month for experienced professionals, especially those with strong technical skills in data analysis, programming, and model evaluation. Such positions often require expertise in tools like Python, TensorFlow, or cloud platforms and may involve contract or freelance work with flexible schedules.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Testing role, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as software developers, data scientists, and AI specialists, as they involve designing, interpreting, and managing AI systems. Continuous learning and technical skills in programming, data analysis, and domain expertise are essential for adapting to evolving technology landscapes.
What are popular job titles related to Temporary Machine Learning Testing jobs in Texas? For Temporary Machine Learning Testing jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Temporary Machine Learning Testing jobs? Cities in Texas with the most Temporary Machine Learning Testing job openings:
Machine Learning Engineer

Machine Learning Engineer

PayPal

Austin, TX

Other

Posted 2 days ago


PayPal rating

6.8

Company rating: 6.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

15th of 17 rated payment service providers


Job description

Machine Learning Engineer

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

  • Assist in the development and optimization of machine learning models.
  • Preprocess and analyze datasets to ensure data quality.
  • Collaborate with senior engineers and data scientists on model deployment.
  • Conduct experiments and run machine learning tests.
  • Stay updated with the latest advancements in machine learning.

Minimum Qualifications:

  • 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
  • Familiarity with ML frameworks like TensorFlow or scikit-learn.
  • Strong analytical and problem-solving skills.

Additional Responsibilities & Preferred Qualifications :

  • Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
  • Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
  • Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
  • Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal's AI applications are compliant with ever evolving regulatory expectation such as Responsible AI. 

Qualifications

  • An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
  • Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
  • Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
  • Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
  • Ability to work effectively both independently and in a team environment
  • Ability to communicate effectively and establish constructive relationship with stakeholders

What PayPal employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


PayPal logo

About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

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