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Overnight Machine Learning Testing Jobs (NOW HIRING)

Judi Health

Machine Learning Engineer

Denver, CO · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve ...

Judi Health

Machine Learning Engineer

New York, NY · Remote

We are looking for a software engineer with machine learning expertise to join us in expanding our ... Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve ...

Micron

Machine Learning Engineer

Boise, ID

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 ...

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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

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 ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... and overnight vitals to millions of Apple Watch users. This role is ideal for an engineer who ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

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 ...

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.

Apple

Machine Learning Engineer

San Diego, CA · On-site

... and overnight vitals to millions of Apple Watch users. This role is ideal for an engineer who ... Strong foundation in machine learning, statistics, signal processing, or applied mathematics for ...

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 ...

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.

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 ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

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Overnight Machine Learning Testing information

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How much do overnight machine learning testing jobs pay per year?

As of May 30, 2026, the average yearly pay for overnight machine learning testing in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Testing jobs? The most popular types of Machine Learning Testing jobs are:
Overnight Machine Learning Testing jobs near you
Machine Learning Engineer

Machine Learning Engineer

Venture Global LNG

Arlington, VA • On-site

Full-time

Posted 28 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.
The ideal candidate will have excellent technical proficiency, excellent communication skills, a self-driven mindset, and the willingness to continuously learn new things.
This position will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA and will require commuting to the office 5 days a week.
Responsibilities
  • Work with business stakeholders to define project requirements.
  • Orchestrate, scale, setup and improve model serving pipelines.
  • Improve model accuracy through feature engineering, tuning, and observability.
  • Improve model computational performance through all aspects of the pipeline, including tuning clusters/job compute, partitioning, caching, feature engineering code, tuning setup, etc.
  • Integrate machine learning models into production environments, ensuring reliability and scalability.
  • Evaluate pretrained models and software from vendors and support integration into production environments.
  • Develop comprehensive project plans for implementing machine learning and AI projects including solution architectures, resourcing, and dependencies.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Work with data scientists, data engineers, and business analysts to translate business requirements into machine learning solutions.
  • Build software solutions that are maintainable, scalable and provide quantifiable business value.
  • Continuously focus on quality architecture, quality code, and ruthless management of technical debt.
  • Continuously push the practice forward, learning and testing newer and better ways of performing work.

Required Qualifications
  • 5 years of machine learning engineering, software engineering, or data science experience.
  • Bachelors in a quantitative field of study.

Preferred Qualifications
  • Masters in a quantitative field of study.
  • Experience with the Azure, AWS, or other cloud ecosystems.
  • Experience in building secure data processing pipelines.
  • Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
  • Experience working with streaming.
  • Expertise in building machine learning solutions using cloud data services.
  • Exceptional skills in data processing languages such as SQL, Python, or Scala.
  • Exceptional skills in feature engineering, model optimization, and parameter tuning.

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
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