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Machine Learning Engineer I Jobs (NOW HIRING)

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

WI · On-site

$110 - $180/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...

Machine Learning Engineer I

Hudson, NY · On-site

$102K - $134K/yr

  • Medical

  • Life

  • Retirement

  • PTO

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

  • Medical

  • Life

  • Retirement

  • PTO

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Hi , I hope you're doing well. I'm reaching out regarding an exciting opportunity that I believe ... Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$151K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role Handshake is hiring a Machine Learning Engineer for the Network and Handshake AI Marketplace Relevance team. AI is transforming how students navigate their careers, and we're committed ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role Handshake is hiring a Machine Learning Engineer for the Network and Handshake AI Marketplace Relevance team. AI is transforming how students navigate their careers, and we're committed ...

Machine Learning Engineer I, Network

San Francisco, CA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role Handshake is hiring a Machine Learning Engineer for the Network and Handshake AI Marketplace Relevance team. AI is transforming how students navigate their careers, and we're committed ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer

Schaumburg, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Demonstrated experience with Infrastructure as Code (IAC) tools (i.e. CDK, Pulumi, etc.). * Demonstrated ability to leverage machine learning engineering to drive business results. * Skilled at ...

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... i.e., AWS, GCP, or Azure). • Demonstrated experience with Infrastructure as Code (IAC) tools (i.e. CDK, Pulumi, etc.). • Demonstrated ability to leverage machine learning engineering to drive ...

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... NoWe will not support sponsorship, i.e., H-1B or TN Visas for this position. U.S. Citizenship ...

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Machine Learning Engineer I information

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$31.5K

$128.8K

$193.5K

How much do machine learning engineer i jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer i 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 is a Machine Learning Engineer I?

A Machine Learning Engineer I is an entry-level professional who designs, builds, and deploys machine learning models within software applications. They work closely with data scientists and software developers to implement algorithms that allow computers to learn from data and make predictions or decisions. Typical responsibilities include cleaning and preparing data, training models, evaluating performance, and optimizing algorithms for scalability and efficiency. This role often requires knowledge of programming languages like Python, frameworks such as TensorFlow or PyTorch, and a solid understanding of statistics and machine learning principles.

What projects can a Machine Learning Engineer I expect to work on during their first year?

As a Machine Learning Engineer I, you can expect to work on projects such as data preprocessing, building and testing basic machine learning models, and implementing existing algorithms under the guidance of senior team members. You'll often collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions. Early projects may also involve model evaluation, feature engineering, and helping to deploy models into production environments. This hands-on experience helps build a strong foundation for tackling more complex problems as you advance in your career.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer I?

To thrive as a Machine Learning Engineer I, you need a solid foundation in programming (especially Python), mathematics, and machine learning concepts, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, version control systems (e.g., Git), and cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with stakeholders and translate business needs into technical solutions. These skills are crucial for building robust models, integrating them into production environments, and driving impactful results in data-driven projects.

What is the difference between Machine Learning Engineer I vs Data Scientist?

AspectMachine Learning Engineer IData Scientist
Required CredentialsBachelor's in CS, Math, or related field; some roles may prefer certifications in ML or data analysisBachelor's or higher in Statistics, Data Science, or related field; often requires knowledge of programming and statistics
Work EnvironmentDevelops, tests, and deploys ML models; collaborates with data engineers and software developersAnalyzes data, builds models, and provides insights; works closely with business teams and analysts
Employer & Industry UsageTech companies, startups, and industries implementing AI solutionsFinance, healthcare, marketing, and research sectors relying on data-driven decisions

Machine Learning Engineer I focuses on developing and deploying ML models, while Data Scientists analyze data to generate insights. Both roles require programming skills and a background in math or statistics, but their daily tasks and objectives differ slightly.

More about Machine Learning Engineer I jobs

What states have the most Machine Learning Engineer I jobs?

States with the most job openings for Machine Learning Engineer I jobs include:

Infographic showing various Machine Learning Engineer I job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer I

CNN

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding for millions of users. The role involves collaborating with cross-functional teams and working on production ML systems that have measurable product impact.
Responsibilities:
• Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
• Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
• Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
• Optimize ML systems for real-time, web-scale performance serving millions of users
• Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
• Contribute to code reviews, documentation, and team knowledge sharing
Qualifications:
Required:
• Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
• 1+ years of professional experience building and deploying machine learning systems in production environments
• Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
• Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Solid understanding of software engineering best practices, including version control, testing, and CI/CD
• Ability to collaborate effectively with cross-functional partners
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
Preferred:
• Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
• Hands-on experience with recommendation systems, search, NLP, or information retrieval
• Familiarity with data pipelines, feature stores, or embedding infrastructure
• Experience with experimentation platforms, A/B testing, and experimentation analysis
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
• Interest in generative AI applications and/or the media and news industry
Company:
CNN is an online broadcasting platform that offers the latest business, financial, and personal finance news. It is a sub-organization of WarnerMedia. Founded in 1980, the company is headquartered in Atlanta, USA, with a team of 1001-5000 employees. The company is currently Late Stage.