1054 Java J2ee jobs in Hawthorne, CA

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      Satellite Data Systems Full-Stack Software Engineers (Experienced/Senior)

      Boeing

      El Segundo, CA 90245

      ~ 13 min OnsiteUrgently HiringHealth InsuranceRetirement Benefit

      • Experience / proficiency with Java
      • Ability to obtain a TS/SCI US Security Clearance (Post-Start)
      • Experience working in Continuous Integration and Continuous Development (CI/CD) using appropriate code versioning, build and test automation tools
      • 3+ years of experience leading projects and/or individuals in software development lifecycle tasks
      • This position is expected to be 100% onsite
      SmartExplore AI is experimental.
      New, Posted 12 hours ago
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      Enterprise Sales Representative

      Spectrum

      Woodland Hills, CA 91367

      ~ 34 min Onsite

      • Proven networking, negotiation and closing abilities
      • High school diploma or general education degree required (GED)
      • Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
      • Valid and active State driver's license with safe driving record
      • This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
      • Read, write, speak and understand English
      • Experience in a consultative sales role
      SmartExplore AI is experimental.
      Sr Machine Learning Engineer

      The Walt Disney Company (Germany) GmbH

      Burbank, CA 91505

      $155,700-$208,700/yr
      ~ 34 min Onsite

      • Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
      • Demonstrated success designing and building enterprise‑scale systems and reusable software frameworks.
      • Experience working with large‑scale, real‑world datasets (noisy, incomplete, non‑standardized, and evolving)
      • Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands‑on building AI agents.
      • 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
      • Solid foundation in statistics, data analysis, and applied machine learning techniques
      • Proven hands‑on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
      • Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML‑driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
      • Proven hands‑on experience building production‑grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit‑learn, etc.
      • Experience operationalizing models in distributed, production environments
      • Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
      • Ability to translate ambiguous operational problems into solvable machine learning use cases
      • Capable of quickly shifting between detailed, hands‑on work and high‑level strategic thinking.
      • Strong hands‑on experience building and deploying event‑driven or streaming data, machine learning models in production
      • Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
      • Strong communication, collaboration and leadership skills
      SmartExplore AI is experimental.
      Sr Machine Learning Engineer

      Disney

      Burbank, CA 91505

      $155,700-$208,700/yr
      ~ 34 min Onsite

      • Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
      • Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
      • Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
      • Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
      • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
      • Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
      • 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
      • Solid foundation in statistics, data analysis, and applied machine learning techniques
      • Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
      • Experience operationalizing models in distributed, production environments
      • Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
      • Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
      • Ability to translate ambiguous operational problems into solvable machine learning use cases
      • Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
      • Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
      • Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
      • Strong communication, collaboration and leadership skills
      SmartExplore AI is experimental.

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