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Junior Machine Learning Engineer Jobs (NOW HIRING)

$77K - $105K/yr

Senior Machine Learning Engineer Position Type: Full-Time/Onsite in Richmond, VA - NO REMOTE Level ... mentoring junior team members and establishing best practices across the organization. Key ...

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Mentor junior engineers and contribute to engineering best practices * Research and evaluate new ML techniques and frameworks What We're Looking For * 5+ years of experience in machine learning or ...

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 ...

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Junior Machine Learning Engineer information

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$33.5K

$71.8K

$109.5K

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

As of Sep 12, 2026, the average yearly pay for junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities are hiring for Junior Machine Learning Engineer jobs?

Cities with the most Junior Machine Learning Engineer 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 Junior Machine Learning Engineer jobs?

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

What are popular job titles related to Junior Machine Learning Engineer jobs?

For Junior Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Junior Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Machine Learning Engineer

Remote

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves collaborating with clients and data engineers to develop end-to-end machine learning and data pipelines.
Responsibilities:
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
Required:
• MS or PhD in a quantitative field (​e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Preferred:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with ​​development tools for experiment tracking, dataset versioning, and model management in machine learning.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.