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Machine Learning Train Jobs (NOW HIRING)

Develop, train, evaluate, and optimize machine learning models. * Prepare, clean, and analyze structured and unstructured datasets. * Implement machine learning algorithms using Python and relevant ...

New

Train and retrain systems when necessary * Extend existing ML libraries and frameworks * Keep abreast of developments in the field Requirements * Proven experience as a Machine Learning Engineer or ...

Responsibilities : • Design and develop machine learning models and algorithms • Train and evaluate models using large datasets • Optimize and fine-tune models for performance and accuracy • ...

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Design, train, and optimize custom deep learning models that understand CAD workflows and generate intelligent next‑step design recommendations. * Develop novel machine learning approaches for ...

$160K - $190K/yr

In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You'll work closely with our engineering team to transform raw data ...

Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You'll work closely with our engineering team to transform raw data ...

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You'll work closely with our engineering team to transform raw data ...

Implement and train machine learning models using Python and modern frameworks (PyTorch)* Contribute to applied AI tooling that supports the broader R&D workflow* Develop visualization and dashboard ...

Train models with curated data to evaluated and ultimately improve performance * Deploy production-ready models to customers * Help maintain the machine learning infrastructure For this role you will ...

Implement and train machine learning models using Python and modern frameworks (PyTorch) * Contribute to applied AI tooling that supports the broader R&D workflow * Develop visualization and ...

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

As a machine learning engineer on our space team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll contribute to the direction of mission-critical solutions ...

Machine Learning Engineer

Somerville, MA · On-site

$170K - $200K/yr

In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and ...

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Showing results 1-20

Machine Learning Train information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning train jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning train 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.

What are popular job titles related to Machine Learning Train jobs?

For Machine Learning Train jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Train job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Seattle, WA • On-site

Emonics LLC
IT Services • 1 - 5K employees

Other

Posted 3 days ago

New


Job description

We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine learning solutions, work with real-world data, and develop their skills across the machine learning lifecycle.


Key Responsibilities:

  • Develop, train, evaluate, and optimize machine learning models.
  • Prepare, clean, and analyze structured and unstructured datasets.
  • Implement machine learning algorithms using Python and relevant ML frameworks.
  • Collaborate with software engineers, data scientists, and other technical teams.
  • Conduct experiments and analyze model performance to identify areas for improvement.
  • Write clean, maintainable, and well-documented code.
  • Stay current with emerging machine learning techniques, tools, and best practices.
  • Contribute to the design and improvement of scalable AI/ML solutions.


Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field.
  • Strong programming skills in Python.
  • Basic understanding of machine learning concepts and algorithms.



Emonics logo

About Emonics

Sourced by ZipRecruiter

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It’s true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2016