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Federated Learning Jobs (NOW HIRING)

From pioneering federated learning to creating AI that enhances operational excellence, our research fuels the breakthroughs that define us. Here, you'll work with cutting-edge tools and brilliant ...

Experience with differential privacy, federated learning, or other privacy-preserving ML techniques * Background in threat modeling and security architecture design * Familiarity with accessibility ...

Lead Artificial Intelligence Engineer

Las Vegas, NV ยท On-site

$99K - $130.40K/yr

Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...

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Federated Learning information

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How much do federated learning jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for federated learning in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Federated Learning vs Data Scientist?

AspectFederated LearningData Scientist
Required CredentialsKnowledge of machine learning, distributed systems, programming (Python, TensorFlow)Degree in Data Science, Statistics, Computer Science; often requires certifications
Work EnvironmentCollaborates with multiple organizations, focuses on privacy-preserving MLAnalyzes data within organizations, builds models, reports insights
Industry UsageTech companies, healthcare, finance for privacy-focused MLWide across industries for data analysis and decision-making

Federated Learning and Data Scientists both work with machine learning, but Federated Learning emphasizes privacy-preserving distributed training across multiple devices or organizations, while Data Scientists focus on analyzing data and building models within a single organization. Their skills overlap in ML knowledge, but their work environments and applications differ significantly.

What cities are hiring for Federated Learning jobs? Cities with the most Federated Learning job openings:
Infographic showing various Federated Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 1% Full Time, and 95% Part Time. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
Lead Artificial Intelligence Engineer

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV โ€ข On-site

$99K - $130.40K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position Summary

The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on building scalable, explainable, and compliant AI models for fraud detection, credit risk, customer analytics, and operational intelligence.

Essential Job Functions
  • Develop, train, and optimize ML, deep learning, and Generative AI models.
  • Implement data pipelines, feature engineering, and model inference services.
  • Deploy and monitor models using enterprise MLOps practices.
  • Support model explainability, bias analysis, and regulatory documentation.
  • Collaborate with data engineers, risk, and compliance teams.
Position RequirementsCore AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures
  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)
  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)
  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks
Preferred
  • Bachelorโ€™s degree in Computer Science, Engineering, Data Science, or related field.
  • 3โ€“7 years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.
ย 
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees. ย 
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