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Machine Learning Ai Developer Jobs (NOW HIRING)

Element Solutions

Machine Learning/AI Engineer

The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation and feature engineering to model training, deployment, and monitoring-in a regulated government ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA · On-site

$139K - $155K/yr

S. in Computer Engineering, Electrical Engineering, Computer Science, or related field with a focus ... aware AI. • Hands-on experience with quantized model deployment, ML design stacks, and code ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$139K - $155K/yr

Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ... Solid programming skills in C++, Python Familiarity with CUDA/OpenCL (or other accelerator ...

Rivian

Machine Learning/AI Engineer

Palo Alto, CA

$139K - $155K/yr

Solid programming skills in C++, Python Familiarity with CUDA/OpenCL (or other accelerator ... Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... Key Responsibilities Design and implement agentic AI systems capable of planning, tool use, memory ...

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How much do machine learning ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning ai developer in the United States is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.58 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

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What cities are hiring for Machine Learning Ai Developer jobs? Cities with the most Machine Learning Ai Developer job openings:
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Machine Learning Ai Developer jobs near you
Infographic showing various Machine Learning Ai Developer job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $111,026 per year, or $53.4 per hour.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

Element Solutions

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Who is Element?
We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people.
Why Work at Element?
Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future.
Position Summary:
We are seeking a highly skilled and motivated Machine Learning / AI Engineer to support a federal government program focused on designing, developing, and deploying production-grade artificial intelligence and machine learning solutions. The role will focus on building scalable, secure, and high-performing AI models that support mission-critical decision-making and operational efficiency.
The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation and feature engineering to model training, deployment, and monitoring-in a regulated government environment.
Key Responsibilities
  • Develop and deploy at least three (3) production-grade AI/ML models, including use cases such as predictive maintenance, anomaly detection, classification, forecasting, or optimization.
  • Design, build, and maintain end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Apply deep expertise in PyTorch and/or TensorFlow to develop and fine-tune advanced machine learning and deep learning models.
  • Implement and support scalable model serving architectures, ensuring high availability, low latency, and secure inference in production environments.
  • Collaborate with data engineers to access, transform, and prepare large-scale datasets for model training and inference.
  • Partner with product owners, analysts, and stakeholders to translate business requirements into machine learning solutions.
  • Monitor model performance in production, including drift detection, accuracy tracking, and retraining strategies.
  • Ensure compliance with federal security, privacy, and governance standards in all AI/ML implementations.
  • Participate in Agile development cycles, including sprint planning, design reviews, and technical demonstrations.
  • Document model architectures, training methodologies, and deployment processes for maintainability and auditability.

Minimum Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or related field (or equivalent experience).
  • 3+ years of experience in machine learning, data science, or AI engineering roles.
  • Proven experience delivering production-grade machine learning models in real-world environments.
  • Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
  • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic.
  • Experience leveraging Large Language Models (LLMs) in development.
  • Understanding of core concepts such as context windows, prompt design, and input/output structures, with the ability to apply AI tools effectively in building and enhancing solutions.
  • Experience building and deploying models using scalable serving frameworks (e.g., REST APIs, containerized deployments, or cloud-based inference services).
  • Experience working with large-scale structured and unstructured datasets.
  • Strong understanding of machine learning concepts including supervised/unsupervised learning, deep learning, model evaluation, and feature engineering.
  • Experience working in the federal government or other highly regulated environments with security and compliance requirements.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong collaboration skills across engineering, data, and product teams.
  • Ability to work independently in a fast-paced, mission-driven environment.
  • High attention to detail with a focus on model reliability and production readiness.
  • US Citizenship or Permanent Residency required.
  • Must reside in the Continental US.
  • Depending on the government agency, specific requirements may include public trust background check or security clearance.

Preferred Qualifications
  • Experience deploying models in cloud environments (AWS, Azure, or GCP).
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
  • Experience with streaming or real-time inference systems.
  • Background in predictive maintenance, anomaly detection, or operational analytics use cases.
  • Familiarity with Docker, Kubernetes, and CI/CD pipelines for machine learning systems.
  • Experience supporting healthcare (e.g., CMS), or other federal mission systems.
  • Qualified individuals living in HUBZone-certified areas are strongly encouraged to apply. To find out if you live in a HUBZone go to: https://maps.certify.sba.gov/hubzone/map#center=44.722800,-103.249700&zoom=4.

$135,000 - $145,000 a year
The likely salary range for this position is $135,000-$145,000. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
Our People
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law.
Location
Be in your Element. We are a remote first company based out of Washington, DC. As a HUBZone-certified business we are committed to supporting local economic development.
Element is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class.
We believe in a world where solutions we build improve the lives of those who use them.

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