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Executive Full Stack Machine Learning Engineer Jobs

Givzey

Machine Learning Engineer

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 ...

SynergisticIT

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 ...

Hadrian Automation

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 ...

Quantum Machines

Machine Learning Engineer

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 ...

Jobtailor

Director of Machine Learning

Washington, DC · On-site

$180 - $260/hr

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

Speria

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 ...

PassFort

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, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

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 ...

sensmore

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 ...

AKUVO LLC

Senior Data & Machine Learning Engineer

Malvern, PA · On-site

$128K - $163K/yr

... 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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

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 ...

Mimecast Limited

Machine Learning Engineer II

Columbus, OH · On-site

$115 - $150/hr

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 ...

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Executive Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Aug 24, 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

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Executive Full Stack Machine Learning Engineer jobs near you
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.

Machine Learning Engineer

Givzey

Remote

Full-time

Re-posted 24 days ago

Job description

Machine Learning Engineer
We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.
Responsibilities:
  • Design, develop, and implement machine learning models and algorithms
  • Analyze large datasets and extract meaningful insights
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems
  • Optimize ML models for performance and scalability
  • Stay current with the latest advancements in machine learning and AI
  • Create and implement big data processing pipelines and architectures
  • Design and build scalable data infrastructure to support ML applications
Requirements:
  • US Citizen
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in machine learning or AI development
  • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Proven ability to create and implement big data solutions from scratch
  • Comfortable setting up and managing distributed computing environments
  • Experience in designing and implementing data pipelines for large-scale data processing
  • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
  • Strong skills in data modeling and database design for machine learning applications
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in a team environment
Preferred Qualifications:
  • Experience in creating and managing real-time data streaming architectures
  • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
  • Experience with AWS machine learning services
  • Proficiency in using AWS big data services
  • Knowledge of serverless architectures on AWS (e.g., Lambda)
  • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
  • Understanding of AWS security best practices for machine learning and data processing workflows

What you'll do day-to-day:
  • Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
  • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
  • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
  • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles
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About Givzey

Sourced by ZipRecruiter

Industry

Administrative assistance services

Company size

1 - 10 Employees

Headquarters location

Boston, MA, US

Year founded

2021

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