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Drl Jobs (NOW HIRING)

Leahy Vetting Specialist

Washington, DC · On-site

$100K - $110K/yr

Work directly with desk officers, overseas posts, DRL, J/TIP, and other stakeholders regarding assigned countries. * Coordinate one of the Bureau's congressionally mandated human rights-related ...

Leahy Vetting Specialist

Washington, DC · On-site

$100K - $110K/yr

Work directly with desk officers, overseas posts, DRL, J/TIP, and other stakeholders regarding assigned countries. * Coordinate one of the Bureau's congressionally mandated human rights-related ...

Engineer II-Software

San Jose, CA · On-site

$114K - $156K/yr

Develop and evaluate AI/ML model architectures, including deep learning and deep reinforcement learning (DRL) systems. * Explore reinforcement learning, neural architecture search, and hardware-aware ...

CHAI in partnership with DRL announced HIV prevention drug Lenacapavir to be launched at $40. This is pathbreaking, and President Clinton announced this himself at UNGA 2026. A generic version of the ...

Ability to write, test and maintain business rules using platform such as DRL for Drools. * Familiarity with rules versioning and use of rules development patterns such as decision tables.

New

Engineer II-Software

San Jose, CA · On-site

$114K - $156K/yr

Develop and evaluate AI/ML model architectures, including deep learning and deep reinforcement learning (DRL) systems. * Explore reinforcement learning, neural architecture search, and hardware-aware ...

Production Supervisor

Visalia, CA · On-site

$75K - $87K/yr

Complete and comply with the Master Sanitation Schedule (MSS), Daily Routine List (DRL), HACCP procedures, Good Manufacturing Practices (GMP), Integrated Pest Management (IPM) Compliance. * Maintain ...

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Drl information

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How much do drl jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for drl in the United States is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What are DRL professionals?

DRL professionals are experts in Deep Reinforcement Learning, a subfield of artificial intelligence that focuses on teaching agents to make decisions by interacting with their environment. They design, develop, and implement algorithms that enable machines to learn optimal actions through trial and error, using feedback from their environment. DRL professionals typically work in industries like robotics, gaming, autonomous vehicles, and finance to create systems that can adapt and improve their performance over time.

What are the key skills and qualifications needed to thrive as a Deep Reinforcement Learning (DRL) Engineer, and why are they important?

To thrive as a Deep Reinforcement Learning Engineer, you need a strong background in machine learning, reinforcement learning algorithms, and programming (especially Python), usually supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow, PyTorch, and RL libraries (e.g., OpenAI Gym) is essential, along with experience using cloud computing platforms. Problem-solving, critical thinking, and effective communication are vital soft skills for designing experiments and collaborating with multidisciplinary teams. These skills ensure the development of robust DRL models, efficient experimentation, and successful deployment in real-world applications.

What are some common challenges faced by professionals working in Deep Reinforcement Learning (DRL) roles?

Professionals in Deep Reinforcement Learning (DRL) often encounter challenges such as designing reward functions that align with desired outcomes, managing the high computational costs of training complex models, and ensuring models generalize well beyond their training environments. Collaboration with multidisciplinary teams—including data scientists, software engineers, and domain experts—is essential to address these issues effectively. Additionally, staying updated with rapid advancements in the field and translating research breakthroughs into practical, scalable solutions are ongoing aspects of the role.

What is the difference between Drl vs Radiologic Technologist?

AspectDrlRadiologic Technologist
Required CredentialsCertification as a Diagnostic Radiologic Technologist (ARRT), state licensingCertification as a Radiologic Technologist (ARRT), state licensing
Work EnvironmentHospitals, clinics, imaging centersHospitals, outpatient clinics, diagnostic imaging centers
Industry UsageCommonly used in healthcare for diagnostic imagingWidely used in medical imaging and diagnostics

Both Drl and Radiologic Technologist roles require similar certifications and work in healthcare settings performing diagnostic imaging. The main difference is that Drl is often a specialized certification or designation within radiologic technology, focusing on specific imaging techniques or advanced procedures. Understanding these distinctions helps in choosing the right career path or job search focus.

More about Drl jobs
What states have the most Drl jobs? States with the most job openings for Drl jobs include:
Infographic showing various Drl job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, and 15% Remote job distribution, with an average salary of $44,979 per year, or $21.6 per hour.
Principal Software Engineer/Developer

Principal Software Engineer/Developer

Fidelity Investments

Merrimack, NH • On-site

Full-time

Re-posted 14 hours ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description


Position Description:
Codes and programs systems using Structured Query Language (SQL). Applies test driven design concepts to test and debug automated solutions and software utilities. Identifies risks and develops contingency plans in anticipation of test automation issues. Implements process improvements within Software Development Lifecycle (SDLC) environments (Agile/Scrum). Crafts and maintains testing frameworks -- Junit, Cucumber, and FitNesse. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Participates in architecture design teams.

  • Defines and implements application-level architecture.

  • Develops applications on complex projects, components, and subsystems for the division.

  • Recommends development testing tools and methodologies and reviews and validates test plans.

  • Responsible for QA readiness of software deliverables.

  • Develops comprehensive documentation for multiple applications or subsystems.

  • Establishes full project life cycle plans for complex projects across multiple platforms.

  • Responsible for meeting project goals on-time and on-budget.

  • Advises on risk assessment and risk management strategies for projects.

  • Plans and coordinates project schedules and assignments for multiple projects.

  • Acts as a primary liaison for business units to resolve various project/technology issues.

  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.

  • Advises senior management on technical strategy.

  • Mentors junior team members.

  • Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.

  • Develops original and creative technical solutions to on-going development efforts.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and implementing Web applications in a financial services environment, using Java Spring framework and Amazon Web Services (AWS).
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and implementing Web applications in a financial services environment, using Java Spring framework and Amazon Web Services (AWS).
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing, developing, maintaining, and providing technical leadership for Web-based financial services, plan configuration, and contract management applications in Java, Spring Boot, Spring MVC, and client-side technologies (HTML, CSS, and JavaScript); and executing Web-based applications in an IntelliJ IDEA integrated development environment, using HTML5 and Angular framework for application build, Maven for automation, and Jenkins for deployment.

  • DE programming Service Oriented Architecture (SOA) in REST patterns, using Spring framework, OAuth, Swagger, Apache Kafka, and Docker, to perform asynchronous event-drive processing (Kafka and Spring Boot), within a distributed environment; deploying Software as a Service (SaaS) in Cloud Azure Kubernetes Service (AKS), using Deployment as a Service (DaaS) to automate deployment; and scaling containerized services using Helm, AKS, and Azure PostgreSQL within a Continuous Integration and Continuous Delivery/Deployment (CI/CD)-enabled Cloud environment.

  • DE designing data structure to implement scalable and efficient applications using advanced data structure concepts (Binary Tree, Binary Search Tree, Graphs, and Entity Relationship) and Unified Modeling Language (UML) on Microsoft Visio, ArgoUML, and Java models; performing architectural modeling and data flow design using UML and Entity Relationship (ER) diagrams for complex enterprise applications to optimize performance and maintainability; and performing tree operations (tree traversal) using advanced algorithms (Order Tree, Post Order Tree, and Pre Order Tree Traversals) to execute data parsing and hierarchical decision-making, applying custom tree traversal algorithms within rule-based engines.

  • DE developing Business Rules Engine to enforce business logic, policies, and consistent decision making for applications, using Rete algorithm and Drools Rule Language (DRL) in Red Hat JBoss Business Rules Management System.

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Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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