Invisible Technologies

Full Stack Reinforcement Learning Engineer Specialist

Invisible Technologies

contract

Posted on:

Location Type: Remote

Location: Remote • 🌎 Anywhere in the World

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Salary

💰 $30 per hour

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudFlaskGoogle Cloud PlatformJavaScriptPythonPyTorchReactTensorflowVue.js

About the role

  • Support projects by designing and implementing reinforcement learning systems that bridge research and deployment.
  • Design, train, and evaluate reinforcement learning models tailored to dynamic environments and optimization problems.
  • Collaborate with engineers and data scientists to integrate RL models into production systems and interfaces, ensuring usability and performance.
  • Contribute to backend services, APIs, and React-based frontends supporting RL experiments and applications.
  • Work with large-scale datasets and simulation environments to inform model development and evaluation.

Requirements

  • 3+ years of experience building and deploying ML systems, with at least 1+ year focused on reinforcement learning.
  • Background contributing to both backend and frontend components of production-grade systems.
  • Experience engaging with stakeholders or project teams to refine requirements and translate into technical deliverables.
  • Strong programming skills in Python and JavaScript (or similar), with proficiency in frameworks such as PyTorch, TensorFlow, or JAX for RL.
  • Familiarity with RL libraries and environments (e.g., OpenAI Gym, RLlib, Stable Baselines, custom simulators).
  • Experience with backend frameworks (FastAPI, Flask, or similar) and frontend frameworks (React, Vue, or similar).
  • Comfort with containerization and cloud environments (GCP, AWS, or similar).
  • Understanding of distributed training, scaling RL systems, and experiment tracking.
  • Ability to produce clean, modular, and testable code in collaborative environments.
Benefits
  • Health insurance
  • Paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
reinforcement learningmachine learningPythonJavaScriptPyTorchTensorFlowJAXFastAPIFlaskReact
Soft skills
collaborationstakeholder engagementrequirement refinementtechnical deliverablesclean codemodular codetestable code