Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
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 ...
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 ...
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
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 ...
Quick apply
Machine Learning Engineer
Fort Mill, SC · Remote
$48/hr
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
$95K - $195K/yr
The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...
Machine Learning Engineer
$95K - $195K/yr
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Washington, DC · On-site
$77.60 - $176/hr
As a machine learning engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of ...
New
Machine Learning Engineer
Washington, DC · On-site
$77.60 - $176/hr
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Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
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Quick apply
Machine Learning Engineer
Seattle, WA · On-site
$120K - $180K/yr
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Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines ...
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The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...
The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...
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Develop platform-level tools for prompt engineering, automated evaluation, prompt optimization, and experimentation. * Deploy, monitor, and maintain machine learning and generative AI models in ...
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Develop platform-level tools for prompt engineering, automated evaluation, prompt optimization, and experimentation. * Deploy, monitor, and maintain machine learning and generative AI models in ...
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Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex ...
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex ...
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San Francisco, CA · On-site
$120 - $160/hr
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Machine Learning Engineer
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$120 - $160/hr
As a Machine Learning Engineer, you will work on a variety of projects related to applied machine learning. You will work closely with the founders, engineers, and other cross‑functional partners ...
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Machine Learning Engineer
College Park, MD · On-site +1
$95K - $195K/yr
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Machine Learning Engineer
College Park, MD · On-site +1
$95K - $195K/yr
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Huntsville, AL · On-site
$125 - $145/hr
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Posted today
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Huntsville, AL · On-site
$125 - $145/hr
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Posted today
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Posted today
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Posted today
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Posted today
Junior Machine Learning Engineer information
See salary details
$33.5K - $40.4K
3% of jobs
$40.4K - $47.3K
20% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$47.3K - $54.2K
7% of jobs
$54.2K - $61.1K
6% of jobs
$61.1K - $68K
12% of jobs
The median wage is $68.5K / yr.
$68K - $75K
17% of jobs
$78.6K is the 75th percentile. Wages above this are outliers.
$75K - $81.9K
17% of jobs
$81.9K - $88.8K
7% of jobs
$88.8K - $95.7K
4% of jobs
$95.7K - $102.6K
3% of jobs
$102.6K - $109.5K
2% of jobs
$33.5K
$71.8K
$109.5K
How much do junior machine learning engineer jobs pay per year?
As of Aug 7, 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 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 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 is the difference between Junior Machine Learning Engineer vs Data Scientist?
| Aspect | Junior Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Science, or related; some experience with ML frameworks | Bachelor's or higher in CS, Statistics, or related; often advanced certifications |
| Work Environment | Developing and deploying ML models, coding, testing | Data analysis, statistical modeling, interpreting data insights |
| Employer & Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, tech, consulting |
| Search & Comparison Intent | Yes | Yes |
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.
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.
More about Junior Machine Learning Engineer jobs
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 job categories do people searching Junior Machine Learning Engineer jobs look for? The top searched job categories for Junior Machine Learning Engineer jobs are:
- Principal Machine Learning Engineer
- Contract Apple Machine Learning Engineer
- Graduate Machine Learning Engineer
- Machine Learning Compiler Engineer
- Machine Learning Engineer Opt
- Machine Learning Engineer Software Engineer
- Bayesian Modeling
- Founding Machine Learning Engineer
- Machine Learning Algorithms
- Google Machine Learning Engineer
Full-time
Re-posted 16 days ago
Job description
Job Summary:
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and implementing machine learning models while collaborating closely with data and software engineers to optimize production pipelines.
Responsibilities:
• Build, maintain, and improve efficient and reliable data mining and machine learning models.
• Design, implement and tune machine learning models, and provide performance feedback.
• Work closely with data engineers to adapt and improve data pipelines for production models.
• Work closely with software engineers in putting models into production (interface, SLA, scalability).
Qualifications:
Required:
• Strong academic background required.
• MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
• Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow).
• Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
• Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
• Master with SQL or other relational database.
• Master in building and productionizing end-to-end machine learning systems.
• Extensive data modeling and data architecture skills.
• Advanced math skills (linear algebra, Bayesian statistics, group theory).
• Ability to consistently exercise independent discretion and judgment on significant matters.
• Strong analytical, problem-solving and communication skills.
• Ability to work in a team environment
Preferred:
• Knowledge and experience in cloud computing is a plus.
Company:
Happy Elements is focused on the development of social, web, and mobile games as well as publishing services. Founded in 2009, the company is headquartered in Beijing, CHN, with a team of 1001-5000 employees. The company is currently Late Stage.
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and implementing machine learning models while collaborating closely with data and software engineers to optimize production pipelines.
Responsibilities:
• Build, maintain, and improve efficient and reliable data mining and machine learning models.
• Design, implement and tune machine learning models, and provide performance feedback.
• Work closely with data engineers to adapt and improve data pipelines for production models.
• Work closely with software engineers in putting models into production (interface, SLA, scalability).
Qualifications:
Required:
• Strong academic background required.
• MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
• Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow).
• Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
• Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
• Master with SQL or other relational database.
• Master in building and productionizing end-to-end machine learning systems.
• Extensive data modeling and data architecture skills.
• Advanced math skills (linear algebra, Bayesian statistics, group theory).
• Ability to consistently exercise independent discretion and judgment on significant matters.
• Strong analytical, problem-solving and communication skills.
• Ability to work in a team environment
Preferred:
• Knowledge and experience in cloud computing is a plus.
Company:
Happy Elements is focused on the development of social, web, and mobile games as well as publishing services. Founded in 2009, the company is headquartered in Beijing, CHN, with a team of 1001-5000 employees. The company is currently Late Stage.