Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring * Deploy and support machine learning models in production environments * Write ...
Quick apply
Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring * Deploy and support machine learning models in production environments * Write ...
Quick apply
Build and maintain systems and pipelines supporting machine learning training, evaluation, inference, and monitoring * Deploy and support machine learning models in production environments * Write ...
Mountain View, CA · Hybrid
$40/hr
POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key drivers of ... Familiarity with training or fine-tuning large-scale models, Sequence Transformer models * Interest ...
Mountain View, CA · Hybrid
$40/hr
POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key drivers of ... Familiarity with training or fine-tuning large-scale models, Sequence Transformer models * Interest ...
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
New York, NY · On-site
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
New York, NY · On-site
We are looking for an exceptional candidate with a proven track record of training and deploying ... Develop machine learning models that revolutionize our customers' businesses. Treeswift develops ...
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 ...
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 ...
... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
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... training, alongside world-class researchers, data scientists, and engineers, tackling the most ... The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary ...
Denver, CO · Remote
$50 - $70/hr
Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Denver, CO · Remote
$50 - $70/hr
Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Description SAIC is seeking a talented and experienced Machine Learning Developer to join our ... training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by ...
Description SAIC is seeking a talented and experienced Machine Learning Developer to join our ... training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by ...
Austin, TX · On-site
Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Austin, TX · On-site
Develop efficient workflows for training, validation, and testing, incorporating distributed ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
San Diego, CA · On-site
Responsibilities : • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. • Assists in ...
San Diego, CA · On-site
Responsibilities : • Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. • Assists in ...
Herndon, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Herndon, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Huntsville, AL · On-site
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 ...
Huntsville, AL · On-site
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 ...
Key Responsibilities: - Design and implement machine learning models and algorithms to solve business problems - Collaborate with data scientists to gather and preprocess data for model training and ...
Key Responsibilities: - Design and implement machine learning models and algorithms to solve business problems - Collaborate with data scientists to gather and preprocess data for model training and ...
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 ...
Quick apply
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 ...
Chantilly, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Chantilly, VA · On-site
... training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data ...
Implementation and Training of Appropriate Models from Literature. * Characterization of Error in Models. * Iterative Optimization of Models. * On the engineering side of development, the Machine ...
Implementation and Training of Appropriate Models from Literature. * Characterization of Error in Models. * Iterative Optimization of Models. * On the engineering side of development, the Machine ...
Conduct data analysis and preprocessing to ensure high-quality data for model training. * Optimize and fine-tune models for performance, accuracy, and scalability. * Deploy machine learning models ...
Conduct data analysis and preprocessing to ensure high-quality data for model training. * Optimize and fine-tune models for performance, accuracy, and scalability. * Deploy machine learning models ...
Huntsville, AL · On-site
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 ...
Huntsville, AL · On-site
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 ...
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
... engineering, training data collection and generation, model fine-tuning and model evaluation ... Machine Learning, or a related field.\nAt least 2 years of experience in various state-of-the-art ...
New
... engineering, training data collection and generation, model fine-tuning and model evaluation ... Machine Learning, or a related field.\nAt least 2 years of experience in various state-of-the-art ...
New
$28K - $35.7K
7% of jobs
$35.7K - $43.4K
6% of jobs
$43.4K - $51K
6% of jobs
$57.1K is the 25th percentile. Wages below this are outliers.
$51K - $58.7K
6% of jobs
$58.7K - $66.4K
7% of jobs
$66.4K - $74.1K
5% of jobs
$74.1K - $81.8K
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$81.8K - $89.5K
2% of jobs
$89.5K - $97.1K
1% of jobs
$97.1K - $104.8K
3% of jobs
The median wage is $104.9K / yr.
$104.8K - $112.5K
51% of jobs
$28K
$87.3K
$112.5K

Full-time
Posted 15 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