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Entry Level Junior Machine Learning Engineer Jobs

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

New

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

New

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the ...

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Entry Level Junior Machine Learning Engineer information

See salary details

$33.5K

$71.8K

$109.5K

How much do entry level junior machine learning engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for entry level junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Junior Machine Learning Engineer vs Data Analyst?

AspectEntry Level Junior Machine Learning EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; some knowledge of ML frameworksBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentDeveloping ML models, coding in Python/R, collaborating with data scientistsAnalyzing datasets, creating reports, using SQL and Excel
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, marketing sectors

While both roles involve working with data, an Entry Level Junior Machine Learning Engineer focuses on building and deploying machine learning models, requiring programming and ML knowledge. A Data Analyst primarily interprets data through visualization and reporting, emphasizing statistical skills. The roles often overlap in data handling but differ in technical complexity and focus.

What cities are hiring for Entry Level Junior Machine Learning Engineer jobs? Cities with the most Entry Level Junior Machine Learning Engineer job openings:
What are the most commonly searched types of Junior Machine Learning Engineer jobs? The most popular types of Junior Machine Learning Engineer jobs are:
What job categories do people searching Entry Level Junior Machine Learning Engineer jobs look for? The top searched job categories for Entry Level Junior Machine Learning Engineer jobs are:
Infographic showing various Entry Level Junior Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 90% Full Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Machine Learning Engineer

Futran Tech Solutions Pvt. Ltd.

Syracuse, NY • On-site

Full-time

Posted 8 days ago


Job description

Title - Machine Learning Engineer
Location - Syracuse, NY (Onsite)
Visa - Any visa
JD:
• Designing predictive models for self-running artificial intelligence (AI) software.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data into useful information
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
Tools and frameworks:
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.