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Full Stack Machine Learning Engineer Jobs (NOW HIRING)

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Collaborating across the team to shape the Data Platform technology stack * Writing technical ...

Finch Services

Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $280K/yr

As a Machine Learning Engineer at Finch, you'll own the full lifecycle of AI systems, from ... Strong Python skills and experience working across the ML stack end-to-end. * Hands-on experience ...

SynergisticIT

Full stack developer

Miami, FL

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Equifax

Machine Learning Engineer

Boise, ID · On-site +1

Machine Learning Engineer Equifax is where you can power your possible. If you want to achieve your ... stacks * Adhere to and influence best practices (i.e. security, architecture, platform, etc.

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HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

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

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

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

SynergisticIT

Full stack developer

Worthington, OH

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Hadrian

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

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

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

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 ...

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All JobsFull Stack Machine Learning Engineer Jobs

Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Jun 3, 2026, the average yearly pay for 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 a Full Stack Machine Learning Engineer job?

A Full Stack Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models into production. They work across the entire ML pipeline, from data collection and preprocessing to model training, evaluation, and deployment using backend and frontend technologies. This role requires expertise in software engineering, data engineering, and machine learning frameworks like TensorFlow or PyTorch. Additionally, they ensure scalability, reliability, and maintainability of ML systems in real-world applications.

What are the key skills and qualifications needed to thrive in the Full Stack Machine Learning Engineer position, and why are they important?

To thrive as a Full Stack Machine Learning Engineer, you need robust programming skills (Python, JavaScript), a deep understanding of machine learning algorithms, and experience with both backend and frontend development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and tools such as Docker and Kubernetes, as well as relevant certifications, are highly beneficial. Strong problem-solving abilities, effective communication, and a collaborative mindset are essential soft skills for working across interdisciplinary teams. These competencies are crucial to designing, deploying, and scaling machine learning solutions in production environments while ensuring seamless integration from data to user interface.

What are some typical challenges Full Stack Machine Learning Engineers face, and how do they overcome them?

Full Stack Machine Learning Engineers often encounter challenges such as integrating complex machine learning models into scalable and maintainable production systems, and ensuring efficiency across both backend and frontend components. They must address issues like managing large and varied datasets, optimizing model inference times, and adapting to fast-evolving technologies. Overcoming these hurdles often requires close collaboration with data scientists, DevOps professionals, and product teams, as well as staying updated with best practices in MLOps and system architecture. Being proactive in learning new tools and fostering effective communication are key strategies for success in this dynamic role.
More about Full Stack Machine Learning Engineer jobs
What cities are hiring for Full Stack Machine Learning Engineer jobs? Cities with the most 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 job categories do people searching Full Stack Machine Learning Engineer jobs look for? The top searched job categories for Full Stack Machine Learning Engineer jobs are:
Full Stack Machine Learning Engineer jobs near you
Infographic showing various Full Stack Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.
Junior Full Stack Software Engineer

Junior Full Stack Software Engineer

SynergisticIT

Washington, DC

Other

Posted 27 days ago

Job description

Synergisticit Job Opportunities

For more than 15 years Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at Synergisticit we just don't focus on getting you a tech job we make careers. In this job market also, our candidates are able to achieve multiple job offers and $100k+ salaries.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed, highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle, knowledge of statistics, gen AI, LLM, Python, computer vision, data visualization tools, excellent written and verbal communication skills. Preferred skills include Snowflake, Databricks, text mining, Tableau, PowerBI, Databricks, Tensorflow.

For Java/full stack/software positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle, project work on the skills knowledge of core Java, javascript, C++, or software programming Spring boot, AWS, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience, excellent written and verbal communication skills.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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