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Junior Full Stack Machine Learning Engineer Jobs

Tech Tammina LLC

Jr. Full-Stack Developer

Warren, MI · On-site

Role: Jr. Full-Stack Developer Location: Warren, MI Duration: Long term About the role: · We're looking for an entry-level Full-Stack Developer to join our team and contribute across the stack--from ...

Fuser

Jr. Full Stack Engineer

Los Angeles, CA · On-site

$70K - $90K/yr

You'll join early as our Junior Full Stack Engineer, working alongside our team to help ship ... This role is perfect for someone who's built projects end-to-end, loves learning new tools, and ...

Entertainment Partners

Entertainment Partners (EP) is seeking an Junior Full Stack Engineer to join our technology ... Quality & Learning * Write unit tests for your code; learn integration testing practices with ...

Fuser

Jr. Full Stack Engineer

Los Angeles, CA · On-site

$70K - $90K/yr

You'll join early as our Junior Full Stack Engineer, working alongside our team to help ship ... This role is perfect for someone who's built projects end-to-end, loves learning new tools, and ...

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site

$92K - $185K/yr

TRABUS works directly with end-users to build machine learning and full stack solutions from the ... Full Stack Engineer (Multiple Levels) We're looking for a Full Stack Engineer to support the ...

Errgo

Junior Machine Learning Engineer

Manhattan, NY · On-site

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML ... with the full machine learning lifecycle--from data preparation and model training through ...

Cortrucent Security

About the Role Cortrucent is seeking a Junior Full Stack Developer. We build and maintain healthcare technology platforms used by hospital systems and their patients, a clinical document exchange and ...

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Junior Full Stack Machine Learning Engineer information

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$46.5K

$94.5K

$142K

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

As of Sep 11, 2026, the average yearly pay for junior full stack machine learning engineer in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

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Junior Full Stack Machine Learning Engineer jobs near you
Infographic showing various Junior Full Stack Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

Jr. Full-Stack Developer

Warren, MI • On-site

Tech Tammina LLC
IT Services • 201 - 500 employees
Learn more about Tech Tammina LLCexternal

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Re-posted yesterday

Job description

Role: Jr. Full-Stack Developer

Location: Warren, MI

Duration: Long term

About the role:

·         We’re looking for an entry-level Full-Stack Developer to join our team and contribute across the stack—from fine-tuning user experiences to enabling seamless system integrations.

·         This role is ideal for someone who thrives in a hands-on technical environment, enjoys solving practical problems, and values clear written communication and collaboration.

What You’ll Do:

·         Make incremental UX/UI improvements across internal applications

·         Support backend work such as system integrations and database connectivity

·         Implement and troubleshoot Multi-Factor Authentication (MFA) via a centralized directory

·         Write and optimize queries to expose data from one system into others

·         Deploy and configure off-the-shelf applications in a corporate IT environment

·         Debug and test applications locally using real-world scenarios

·         Perform thorough integration testing to ensure reliable production releases

·         Document requirements gaps and edge cases proactively to support smooth execution

·         Collaborate closely with product, design, and IT teams

Our Tech Stack:

·         Frontend: React

·         Backend: Go, Node.js, Python

·         Database: SQL-based systems (e.g., PostgreSQL, MySQL)

·         Authentication & Integration: SSO, centralized MFA (e.g., Azure AD, Okta)

What We’re Looking For:

·         Proficient in navigating large codebases using GitHub (branches, PRs, reviews) and Sourcegraph (code search, cross-repo tracing) to understand system behavior and dependencies

·         Hands-on experience developing applications and user interfaces (coursework, internships, or personal projects welcome)

·         Familiarity with full-stack development using React, Go, Node.js, Python, and SQL

·         Experience deploying applications in a corporate environment

·         Understanding of centralized authentication and MFA systems

·         Comfort with local development workflows and debugging

·         Experience performing integration testing ahead of deployment

·         Strong organization and communication skills, especially in written form

·         A proactive mindset for documenting open questions and clarifying requirements

Nice-to-Have Skills:

·         Familiarity with REST APIs, GraphQL or Retool

·         Basic knowledge of enterprise identity protocols (e.g., SAML, OAuth2)