This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics ...
Quick apply
This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics ...
Quick apply
This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools
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If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools
Chantilly, VA · On-site
Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...
Chantilly, VA · On-site
Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...
Chantilly, VA · On-site +1
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications ...
Chantilly, VA · On-site +1
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications ...
The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design ...
The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design ...
Herndon, VA · On-site +1
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications ...
Herndon, VA · On-site +1
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications ...
Herndon, VA · On-site
Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...
Herndon, VA · On-site
Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...
Chicago, IL · On-site
$70 - $90/hr
Required Credentials * 2+ years of experience in machine learning engineering, data engineering, software engineering, or a related technical role. * Hands-on experience supporting production or near ...
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Chicago, IL · On-site
$70 - $90/hr
Required Credentials * 2+ years of experience in machine learning engineering, data engineering, software engineering, or a related technical role. * Hands-on experience supporting production or near ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... This position requires a strong blend of software engineering and data science expertise, with a ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... This position requires a strong blend of software engineering and data science expertise, with a ...
Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications * Strong academic background required. MS in Computer Science or Machine Learning ...
Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications * Strong academic background required. MS in Computer Science or Machine Learning ...
$70 - $90/hr
Required Credentials * 2+ years of experience in machine learning engineering, data engineering, software engineering, or a related technical role. * Hands-on experience supporting production or near ...
$70 - $90/hr
Required Credentials * 2+ years of experience in machine learning engineering, data engineering, software engineering, or a related technical role. * Hands-on experience supporting production or near ...
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... This position requires a strong blend of software engineering and data science expertise, with a ...
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Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance ... This position requires a strong blend of software engineering and data science expertise, with a ...
Sunnyvale, CA · On-site
Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field. MS or PhD in computer vision ...
Sunnyvale, CA · On-site
Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field. MS or PhD in computer vision ...
Sunnyvale, CA · On-site
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Software engineering skills and proficiency in PythonExperience with PyTorchIndependent problem ...
Sunnyvale, CA · On-site
... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Software engineering skills and proficiency in PythonExperience with PyTorchIndependent problem ...
Newark, NJ · On-site
Strong background in software engineering with proven experience as a Machine Learning Engineer. * Bachelor's degree in Computer Science, Computer Engineering, or related field; Master's preferred.
Newark, NJ · On-site
Strong background in software engineering with proven experience as a Machine Learning Engineer. * Bachelor's degree in Computer Science, Computer Engineering, or related field; Master's preferred.
Manhattan, NY · On-site
... software engineering best practices. • Stay current on emerging ML tooling, frameworks, and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Manhattan, NY · On-site
... software engineering best practices. • Stay current on emerging ML tooling, frameworks, and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Boston, MA · On-site
... software engineering best practices. • Stay current on emerging ML tooling, frameworks, and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
Boston, MA · On-site
... software engineering best practices. • Stay current on emerging ML tooling, frameworks, and ... machine learning engineering, applied ML, or related software engineering roles. • Strong ...
... software delivery, and streamline implementation processes across a large-scale delivery ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...
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... software delivery, and streamline implementation processes across a large-scale delivery ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...
$63.5K - $76.4K
2% of jobs
$76.4K - $89.3K
4% of jobs
$89.3K - $102.2K
6% of jobs
$102.2K - $115.1K
8% of jobs
$122.1K is the 25th percentile. Wages below this are outliers.
$115.1K - $128K
7% of jobs
$128K - $141K
18% of jobs
The median wage is $144K / yr.
$141K - $153.9K
16% of jobs
$153.9K - $166.8K
2% of jobs
$172.1K is the 75th percentile. Wages above this are outliers.
$166.8K - $179.7K
26% of jobs
$179.7K - $192.6K
1% of jobs
$192.6K - $205.5K
8% of jobs
$63.5K
$147.5K
$205.5K
| Aspect | Machine Learning Engineer | Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, specialized ML courses | Bachelor's in CS or related field |
| Work Environment | Develops ML models, algorithms, data pipelines | Builds software applications, systems, APIs |
| Industry Usage | AI/ML projects, data-driven solutions | Web, mobile, enterprise software |
Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

Full-time
Posted 10 days ago
Join a high-growth financial technology organization focused on building modern digital banking, payments, lending, and risk solutions for financial institutions and fintech partners. This team is investing in machine learning and analytics capabilities to help improve fraud detection, predictive insights, and operational decision-making across customer-facing products.
This is an opportunity to work on applied machine learning systems that directly support real-world fraud and risk workflows. The team owns solutions end-to-end and is focused on building scalable, production-ready ML applications that deliver measurable customer impact.
Position Summary
We are seeking a Machine Learning Engineer to help design, deploy, and support production machine learning systems within a collaborative engineering organization. This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics workflows.
This is a hands-on engineering role focused on production systems, model deployment, APIs, pipelines, and ML operations rather than purely research-oriented machine learning work.
Responsibilities
Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring
Deploy and support machine learning models in production environments
Write clean, scalable, maintainable, and well-tested Python code
Support monitoring, troubleshooting, and optimization of production ML systems and data pipelines
Collaborate cross-functionally with engineering, data science, and product teams to operationalize ML solutions
Improve the reliability, scalability, and performance of ML infrastructure and services
Contribute to tooling and processes that support the machine learning development lifecycle
Participate in code reviews, technical discussions, and collaborative problem solving
Required Qualifications
2+ years of experience in machine learning engineering, software engineering, or related technical experience
Strong Python development experience
Experience working with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
Experience deploying or supporting machine learning models in production environments
Experience writing clean, maintainable code and using version control tools such as Git
Exposure to cloud platforms such as AWS, GCP, or Azure
Understanding of taking machine learning models from research/development into production systems
Additional Information
Hybrid work environment based in Cary, NC
Applicants must be authorized to work in the U.S. without sponsorship
Competitive compensation, benefits, flexible time off, and career development opportunities
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Recruiting and staffing services
11 - 50 Employees
Austin, TX, US
2012