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Machine Learning Engineer | $90/hr

  • Machine Learning Engineer | $90/hr job type Posted on: Oct 12, 2026
  • Machine Learning Engineer | $90/hr experience level Codefeast
  • Machine Learning Engineer | $90/hr employment type United States, Pennsylvania
  • Machine Learning Engineer | $90/hr salary Salary: $90 per hour
  • Machine Learning Engineer | $90/hr employment type Onsite
  • Machine Learning Engineer | $90/hr salary Full-time

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Job Title :

Machine Learning Engineer | $90/hr

Job Type :

Full-Time

Job Location :

United States Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Machine Learning Engineer – Reinforcement Learning Scenario BuildingExperience: Professional Machine Learning / AI Research ExperienceJob Type: ContractorLocation: United States – RemoteSchedule: FlexibleCompensation: $90/hourRole OverviewWe are looking for Machine Learning Engineers, AI Researchers, Simulation Developers, and Technical Game Designers with hands-on experience in reinforcement learning environments and simulation design. You will build and test structured scenarios within a remote reinforcement learning platform, configure environment parameters and reward structures, and provide technical feedback on the platform and workflow.Key ResponsibilitiesDesign and build scenarios within a reinforcement learning platform.Configure environmental parameters, spatial constraints, and agent interaction rules.Define and work with reward structures.Test preliminary agent behavior and validate scenario setup.Document your workflow and identify friction points.Share technical feedback on platform usability during a remote interview.Key RequirementsProfessional experience in Machine Learning, AI Research, Simulation Development, or related roles.Hands-on experience building simulations or reinforcement learning environments.Familiarity with RL frameworks, agent behavior, and reward structures.Strong analytical and problem-solving skills.Comfortable configuring complex technical platforms and interfaces.Ability to clearly explain technical workflows and provide feedback during a remote interview.Selection ProcessStep 1 – Application / Profile SubmissionStep 2 – Profile ScreeningStep 3 – RL Scenario-Building ActivityStep 4 – Technical Feedback InterviewStep 5 – Review & Payment

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

10440_4469676272

Employment:

Full-time

Salary:

$90 per hour

City:

United States

Job Origin:

APPCAST_CPC

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Machine Learning Engineer – Reinforcement Learning Scenario BuildingExperience: Professional Machine Learning / AI Research ExperienceJob Type: ContractorLocation: United States – RemoteSchedule: FlexibleCompensation: $90/hourRole OverviewWe are looking for Machine Learning Engineers, AI Researchers, Simulation Developers, and Technical Game Designers with hands-on experience in reinforcement learning environments and simulation design. You will build and test structured scenarios within a remote reinforcement learning platform, configure environment parameters and reward structures, and provide technical feedback on the platform and workflow.Key ResponsibilitiesDesign and build scenarios within a reinforcement learning platform.Configure environmental parameters, spatial constraints, and agent interaction rules.Define and work with reward structures.Test preliminary agent behavior and validate scenario setup.Document your workflow and identify friction points.Share technical feedback on platform usability during a remote interview.Key RequirementsProfessional experience in Machine Learning, AI Research, Simulation Development, or related roles.Hands-on experience building simulations or reinforcement learning environments.Familiarity with RL frameworks, agent behavior, and reward structures.Strong analytical and problem-solving skills.Comfortable configuring complex technical platforms and interfaces.Ability to clearly explain technical workflows and provide feedback during a remote interview.Selection ProcessStep 1 – Application / Profile SubmissionStep 2 – Profile ScreeningStep 3 – RL Scenario-Building ActivityStep 4 – Technical Feedback InterviewStep 5 – Review & Payment

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