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Executive Full Stack Machine Learning Engineer Jobs

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Ryan Consulting

Full Stack AI Engineer

Plano, TX · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

Ryan, LLC

Full Stack AI Engineer

Plano, TX · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

$13K/mo

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

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Ryan, LLC

Full Stack AI Engineer

Atlanta, GA · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

Ryan Consulting

Full Stack AI Engineer

Houston, TX · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

SBT Global, Inc.

AI Full Stack Developer

San Jose, CA · On-site

$13K/mo

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 ...

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

Ryan Consulting

Full Stack AI Engineer

Atlanta, GA · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

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 ...

Ryan, LLC

Full Stack AI Engineer

Houston, TX · On-site

It is a generative-AI engineering role built upon full-stack fundamentals, which is distinct from a traditional machine-learning or data-science position. Working across the full delivery lifecycle ...

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All JobsFull Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs

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 Jul 11, 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.

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

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:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs are:
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 July 2026, with employment types broken down into 95% 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.
Machine Learning Engineer

Machine Learning Engineer

Applied Information Sciences

Washington, DC

$100K - $150K/yr

Full-time

Posted 17 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

What you will be doing?

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior Software Engineer.

  • Core Knowledge & Skills: Works across multiple languages and platforms, designs and implements architectural decisions, applies design patterns, cloud-native services, IAAS/PAAS/SAAS basics, and secure coding practices (e.g., OWASP Top 10).

  • Work & Complexity: Performs complex tasks under limited guidance, integrates and troubleshoots distributed or cloud services, and optimizes performance and scalability.

  • Quality & Independence: Sets a high bar for code quality, multitasks effectively, owns and corrects errors quickly, and drives continuous improvement.

  • Teamwork & Communication: Leads code reviews, mentors teammates, and translates technical concepts for non-technical stakeholders.

  • Consulting & Engagement: Works directly with clients without oversight, writes technical RFP content when needed, nurtures client relationships, and manages routine client concerns.

As your initial project assignment, you will support the unique needs of our client as a Machine Learning Engineer. Project Summary

AIS is seeking a Machine Learning Engineer for an AI Engineering contract supporting a federal customer in a hybrid role in the DC/Maryland/Virginia (DMV) area.

Key Responsibilities

  • Develop and deploy software into production in government environments.

  • Build data pipelines and manage the full data lifecycle.

Required For This Opportunity

  • Bachelor's Degree in Computer Science (or closely related degree).

  • At least 3 years of experience in Software Development, Machine Learning, and/or AI Engineering.

  • Must have hands-on experience with Python, Python DS Tech Stack (tensorflow, scikit-learn, pandas, etc.), Kubernetes, Postgres, and Docker.

  • Must have a strong Python background.

  • Must have a proven track record of building data pipelines, managing the full data lifecycle, and developing and deploying software into production in government environments.

  • Must have an Active Secret Clearance.

Nice to Have Skills

  • A certification in Data Science, AI, or another related certification is preferred, but not required.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $100,000-$150,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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