Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong ...
We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong ...
Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...
Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Quick apply
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...
Machine Learning Engineer
Seattle, WA · Remote
Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...
Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...
Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...
The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...
Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers. Job Duties and Responsibilities A talented Machine Learning Engineer to support our AI Center of ...
Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers. Job Duties and Responsibilities A talented Machine Learning Engineer to support our AI Center of ...
As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...
As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...
Machine Learning Engineer
$130K - $200K/yr
Machine Learning Engineer Location: San Francisco, CA Salary Range: $130,000 - $200,000 About Us: Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and ...
Machine Learning Engineer
$130K - $200K/yr
Machine Learning Engineer Location: San Francisco, CA Salary Range: $130,000 - $200,000 About Us: Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and ...
As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You'll work closely with data scientists and engineers to ...
As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You'll work closely with data scientists and engineers to ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer
$100K - $300K/yr
Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Visa: No GC LinkedIn : Must with photo or match project Year exp only 12 not more than that Interview F2F About the Role: * Our ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Visa: No GC LinkedIn : Must with photo or match project Year exp only 12 not more than that Interview F2F About the Role: * Our ...
Machine Learning Engineer
Manhattan, NY · On-site +1
$170K - $212K/yr
Machine Learning Engineer The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking ...
Machine Learning Engineer
Manhattan, NY · On-site +1
$170K - $212K/yr
Machine Learning Engineer The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking ...
Machine Learning Engineer Opportunity SynergisticIT wants every candidate to know that the job ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...
Machine Learning Engineer Opportunity SynergisticIT wants every candidate to know that the job ... entry-level position each additional Technical skill helps a candidate's resume to be picked by ...
Machine Learning Engineer
San Diego, CA · On-site
As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Machine Learning Engineer
San Diego, CA · On-site
As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Entrylevel Machine Learning Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do entrylevel machine learning engineer jobs pay per year?
As of Jun 3, 2026, the average yearly pay for entrylevel machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
What is the difference between Entrylevel Machine Learning Engineer vs Data Scientist?
| Aspect | Entrylevel Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Math, or related; some knowledge of ML frameworks | Bachelor's or higher in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models, implements algorithms, collaborates with engineering teams | Analyzes data, builds statistical models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research institutions |
While both roles involve working with data and algorithms, an Entrylevel Machine Learning Engineer primarily focuses on developing and deploying machine learning models within software systems. In contrast, a Data Scientist emphasizes analyzing data, creating statistical models, and deriving insights. Both roles often require similar educational backgrounds, but their day-to-day tasks and industry applications differ.
What cities are hiring for Entrylevel Machine Learning Engineer jobs? Cities with the most Entrylevel Machine Learning Engineer job openings:
What states have the most Entrylevel Machine Learning Engineer jobs? States with the most job openings for Entrylevel Machine Learning Engineer jobs include:
Full-time
Posted 3 days ago
Job description
Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint's client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
• Integrate machine learning systems into existing software architectures and enterprise platforms
• Design, build, and optimize data pipelines to support model training and inference
• Develop, test, and deploy machine learning models into production environments
• Manage transition from prototype to production, including deployment pipelines and monitoring solutions
• Monitor model performance, including handling model drift, rollback, and failure scenarios
• Conduct experiments and testing to evaluate and improve model accuracy and performance
• Write clean, maintainable, and testable code in Python and related technologies
• Collaborate with cross-functional teams to integrate ML capabilities into mission systems
• Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
• Support development in Linux and Windows environments
Required:
• Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
• Minimum 12+ years of overall experience, including 1-3 years working with machine learning frameworks
• Strong programming skills in Python
• Experience with machine learning frameworks, libraries, and data modeling techniques
• Solid understanding of the machine learning lifecycle
• Experience working with SQL and NoSQL databases
• Experience working in Linux and Windows environments
• Familiarity with CI/CD pipelines and Agile development methodologies
• Understanding of software design and system integration principles
Desired:
• Active TS/SCI with CI Polygraph (desired)
• Experience working with large-scale (petabyte-level) datasets
• Experience supporting multi-INT analytics environments
• Experience deploying, monitoring, and scaling machine learning models in production
• Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
• Experience implementing GitOps workflows
• Experience working in secure or classified environment
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint's client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
• Integrate machine learning systems into existing software architectures and enterprise platforms
• Design, build, and optimize data pipelines to support model training and inference
• Develop, test, and deploy machine learning models into production environments
• Manage transition from prototype to production, including deployment pipelines and monitoring solutions
• Monitor model performance, including handling model drift, rollback, and failure scenarios
• Conduct experiments and testing to evaluate and improve model accuracy and performance
• Write clean, maintainable, and testable code in Python and related technologies
• Collaborate with cross-functional teams to integrate ML capabilities into mission systems
• Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
• Support development in Linux and Windows environments
Required:
• Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
• Minimum 12+ years of overall experience, including 1-3 years working with machine learning frameworks
• Strong programming skills in Python
• Experience with machine learning frameworks, libraries, and data modeling techniques
• Solid understanding of the machine learning lifecycle
• Experience working with SQL and NoSQL databases
• Experience working in Linux and Windows environments
• Familiarity with CI/CD pipelines and Agile development methodologies
• Understanding of software design and system integration principles
Desired:
• Active TS/SCI with CI Polygraph (desired)
• Experience working with large-scale (petabyte-level) datasets
• Experience supporting multi-INT analytics environments
• Experience deploying, monitoring, and scaling machine learning models in production
• Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
• Experience implementing GitOps workflows
• Experience working in secure or classified environment