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Machine Learning Engineer Associate Jobs (NOW HIRING)

Role Description This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

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Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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Machine Learning Engineer Associate information

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$41.5K

$82.6K

$132K

How much do machine learning engineer associate jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer associate in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
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What cities are hiring for Machine Learning Engineer Associate jobs?

Cities with the most Machine Learning Engineer Associate job openings:

What are the most commonly searched types of Machine Learning Engineer jobs?

The most popular types of Machine Learning Engineer jobs are:

What states have the most Machine Learning Engineer Associate jobs?

States with the most job openings for Machine Learning Engineer Associate jobs include:

Infographic showing various Machine Learning Engineer Associate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

Machine Learning Engineer

Socket.dev

California, MD • On-site

$120 - $180/hr

Other

Posted 6 days ago


Job description

Role Description

This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven decision-making. In this position, you will work with data, algorithms, and software systems to build intelligent applications and improve existing processes.


As a Machine Learning Engineer, you will collaborate with data scientists, software engineers, and business stakeholders to transform requirements into practical machine learning solutions. You will assist in preparing data, training models, evaluating performance, and deploying machine learning applications into production environments.


The role involves monitoring model performance, optimizing workflows, and ensuring that machine learning systems operate efficiently and reliably. You will also support testing, troubleshooting, and continuous improvement efforts to enhance the accuracy and effectiveness of AI-driven solutions.


This position is ideal for candidates who enjoy working with both software development and data-driven technologies. It focuses on the practical implementation and deployment of machine learning systems rather than advanced academic research.


The Machine Learning Engineer plays a key role in enabling intelligent automation, predictive analytics, and scalable AI solutions across the organization.


Key Responsibilities

  • Develop, test, and deploy machine learning models and applications

  • Prepare, clean, and process data for model development

  • Evaluate model performance and optimize results

  • Support the deployment and maintenance of machine learning systems

  • Collaborate with cross-functional teams to define use cases and requirements

  • Monitor model accuracy, reliability, and performance

  • Troubleshoot and resolve model or data-related issues

  • Document machine learning workflows, processes, and solutions

  • Improve automation and predictive capabilities through machine learning

  • Stay updated on machine learning technologies, tools, and best practices


Qualifications

  • Basic to intermediate understanding of machine learning concepts and techniques

  • Familiarity with Python or other programming languages used in data and AI projects

  • Understanding of data processing, model training, and evaluation workflows

  • Knowledge of machine learning libraries or frameworks is a plus

  • Strong analytical and problem-solving skills

  • Ability to work with structured and unstructured data

  • Attention to detail and a structured approach to development

  • Good communication and teamwork skills

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