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Entry Level Full Stack Machine Learning Engineer Jobs

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

New

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

cyberThink, Inc.

AI Full Stack Developer

San Jose, CA · On-site

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

New

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to ...

Harnham

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$220K - $260K/yr

... Machine Learning Engineer $220,000 - $260,000 + Bonus Remote (NYC preferred, hybrid available ... full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and ...

Spotify

Machine Learning Engineer

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

... stack, focusing on model research and dataset engineering. Responsibilities : • Design, train ... full training loop development beyond fine-tuning off-the-shelf models. • Strong software ...

BTI Solutions

AI Full Stack Developer

San Jose, CA · On-site

AI Full Stack Developer Job Summary We are looking for a highly motivated AI Full Stack Developer ... Implement machine learning models (using frameworks likePyTorch,TensorFlow, orscikit-learn) into ...

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All JobsFull Stack Machine Learning Engineer JobsEntry Level Full Stack Machine Learning Engineer Jobs

Entry Level Full Stack Machine Learning Engineer information

See salary details

$44.5K

$134.8K

$190.5K

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

As of Jul 11, 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:
What job categories do people searching Entry Level Full Stack Machine Learning Engineer jobs look for? The top searched job categories for Entry Level Full Stack Machine Learning Engineer jobs are:
Entry Level Full Stack Machine Learning Engineer jobs near you
Infographic showing various Entry Level Full Stack Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

AI Full Stack Developer

SBT Global, Inc.

San Jose, CA • On-site

Full-time

Posted 2 days ago

New

Job description

Company Description

1 Yr Contract

Onsite

Mid- Level Pay Rate: ~$13,975/mo DOE

We are looking for a highly motivated AI Full Stack Developer to join our team to build, deploy, and maintain end-to-end applications that leverage generative AI models and agentic architectures. As a Full-stack AI Developer, will bridge the gap between AI research and production-ready applications, working across the entire stack from frontend interfaces to backend logic and machine learning models. Will be responsible for building, testing, and scaling AI-driven products.

Job Description
  • AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features.
  • ML Model Integration: Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into web and mobile applications.
  • Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks.
  • Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React, Vue, or Next.js.
  • MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes, Cloud Run, or containerization tools to ensure high-performance applications.
  • Database Management: Manage both relational and NoSQL databases to support AI-powered functionality.
  • Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products.
Qualifications

Required Qualifications & Skills

  • Experience: Proven experience (5~8 yrs. for Middle Level) as a Full Stack Developer with specialized experience in AI model deployment.
  • Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django.
  • Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI).
  • AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch).
  • Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Qualifications

  • Experience with generative AI and agentic architectures.
  • Understanding of data privacy and security in AI applications.
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Additional Information

All your information will be kept confidential according to EEO guidelines.