Machine Learning Engineer in Australia, India is listed on Jobeax. Browse 30,000+ vacancies available.
Machine Learning Engineer — Reinforcement Learning Scenario Building
Engagement: Independent Contractor Work Arrangement: Remote Compensation: $90/hour Format: Remote work and voice interview
About the Opportunity
We are seeking Machine Learning Engineers and AI researchers with hands-on experience in simulation and reinforcement learning to help build and test environments for RL agents.
You will use your technical expertise to create structured scenarios, configure simulated environments, test agent interactions, and provide practical feedback on the tools and interfaces used to develop reinforcement learning scenarios.
What You'll Do
Design and build scenarios within a reinforcement learning platform.
Configure environmental parameters and spatial constraints.
Define agent interaction rules and reward structures.
Run preliminary agent interactions to test and validate scenarios.
Document your workflow and identify friction points encountered during environment configuration.
Discuss your experience and provide technical feedback on the platform's usability during a remote interview.
Who Should Apply
This opportunity is suited to professionals with experience in:
Machine learning or artificial intelligence research.
Simulation design and development.
Reinforcement learning environments and frameworks.
Configuring technical platforms for simulated agent interactions.
Defining structured agent scenarios and reward structures.
Relevant backgrounds include Machine Learning Engineering, AI Research, Simulation Development, and Technical Game Design .
You should be comfortable working with complex platform interfaces and clearly communicating technical observations and feedback.
Engagement & Payment
Independent contractor engagement.
Fully remote, with work completed on your own schedule.
$90/hour , paid weekly based on services rendered.
Engagements may be extended, shortened, or concluded early depending on project needs and performance.
Work must not involve confidential or proprietary information belonging to an employer, client, or institution.
H-1B and STEM OPT candidates cannot be supported at this time.
Apply
If you have practical experience building simulations, reinforcement learning environments, or AI agent scenarios , this opportunity allows you to apply your technical expertise to the development and testing of RL environments.
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