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Entry Level Full Stack Machine Learning Engineer Jobs

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in ...

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Entry Level Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Jun 21, 2026, the average yearly pay for entry level full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Full Stack Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Full Stack Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML frameworksBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, builds backend and frontend applicationsAnalyzes data, creates visualizations, interprets data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, tech industries

While both roles require a foundation in data and programming, the Entry Level Full Stack Machine Learning Engineer focuses on developing end-to-end ML solutions, including deployment and integration, whereas the Entry Level Data Scientist primarily analyzes data and creates insights without necessarily building full applications.

More about Entry Level Full Stack Machine Learning Engineer jobs
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs? The most popular types of Full Stack Machine Learning Engineer jobs are:
Infographic showing various Entry Level Full Stack Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

Santa Fe, NM

Other

Posted 14 days ago


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry-level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.