1

Executive Full Stack Machine Learning Engineer Jobs

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... stack, taking the initiative to solve problems and improve our ML operations. • Act as a self ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts ...

... Engineering * AI/Agentic Systems Deployment * Training and Inference Pipeline Design * Full-Stack ... Machine Learning Frameworks * Big Data Technologies * Security Clearance Management Soft Skills

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... control stack, including QUA, Qualibrate, and the OPX1000. * Work directly with customers and ...

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

... and executive management. Job Summary We are seeking a highly skilled and motivated Machine ... full potential. We believe in understanding and respecting differences among all people. Every ...

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen ... full autonomy stack. Required Qualifications: * Master's or PhD in Computer Science, Robotics ...

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... executives, customers, and peers from other businesses and institutions * Contribute to all phases ...

Machine Learning Engineer

Berlin, NH · On-site

$102.41 - $159.31/hr

We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen ... full autonomy stack. Required Qualifications: * Master's or PhD in Computer Science, Robotics ...

... full-stack application or infrastructure engineering. You will work closely with the Principal Data ... Experience with machine-learning libraries such as scikit-learn, XGBoost, LightGBM, or comparable ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day - to ...

Showing results 21-40

Executive Full Stack Machine Learning Engineer information

See salary details

$44.5K

$134.8K

$190.5K

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

As of Aug 22, 2026, the average yearly pay for executive 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 Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

More about Executive Full Stack Machine Learning Engineer jobs

What cities are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities with the most Executive Full Stack Machine Learning Engineer job openings:

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 states have the most Executive Full Stack Machine Learning Engineer jobs?

States with the most job openings for Executive Full Stack Machine Learning Engineer jobs include:

Infographic showing various Executive Full Stack Machine Learning Engineer 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 $134,771 per year, or $64.8 per hour.

Full Stack Engineer

IQUASAR LLC

San Diego, CA • On-site

Full-time

Re-posted 2 days ago


Job description

Hey There
I hope you are doing well
My name is Zain and I represent iQuasar Software Solutions.
One of our clients in San Diego, CA, needs a Full Stack software engineer for a full-time position.
Position: Full Stack software engineer
Location: San Diego, CA
Clearance Level: Secret  
JOB DESCRIPTION:
We are looking for a Full Stack software engineer who can join our team and make an immediate impact through their creativity, enthusiasm and technical abilities. Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.
RESPONSIBILITIES:
  • Maintain and enhance existing full-stack applications (backend, frontend, DevOps and data layers) that combine AI, data analytics, and spatiotemporal big data.
  • Collaborate with iQuasar software engineers in architecting and deploying new full-stack applications that combine AI and big data analytics.
  • Maintain and develop applications using web-frameworks such as Django and React.
  • Help develop and enhance Continuous Integration (CI)/Continuous Development (CD) pipelines for current and future application development projects.
  • Manage existing cloud-based applications and develop new applications on cloud platforms such as AWS and DigitalOcean.
  • Maintain and develop complex data-driven APIs using tools such as GraphQL & Swagger.
  • Coding of full-stack applications for iQuasar government and industry-based contracts and towards iQuasar commercialization efforts.
REQUIREMENTS:
  • 2+ year of experience in programming in a high-level programming language such as Python.
  • 2-4 years of experience in Python-based web-frameworks such as Django or Flask
  • Experience with the following front-end tools: React, JavaScript, Typescript, CSS, bootstrap, Tailwind, and Django
  • Experience in Database technologies such as PostgreSQL, MySQL and NoSQL data stores such as Redis, or MongoDB.
  • Knowledge or minimal experience in containerization tools such as Docker and Kubernetes.
  • Basic knowledge of automation tools and CI/CD
  • Additional knowledge in AI and machine learning/deep learning technologies such as TensorFlow, PyTorch and Keras will be an added bonus.
DESIRED:
  • Bachelor’s degree in Computer Science/Engineering/Data Science or other STEM related discipline.                               
  • Strong knowledge of Linux or Unix-like OS.
  • Excellent coding skills in Python, Django and familiarity with libraries such as pandas and NumPy.
  • Experience in handling git repositories
Please let me know if you have any questions
Best Regards
Zain Wani

Sr. Recruitment Professional
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
zain.wani@iQuasar.com
Direct: (703) 349-5832
Main:   (703) 962-6001 Ext. 634
www.iQuasar.com

Flexible work from home options available.