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Invisible Technologies · 3 months ago

Full Stack Reinforcement Learning (RL) Engineer Specialist

United States

Full-time

Remote

Mid Level

3+ years exp

Agency is seeking a Full Stack Reinforcement Learning (RL) Engineer Specialist to support projects by designing and implementing reinforcement learning systems that bridge research and deployment. The role involves developing RL models and pipelines, integrating RL models into production systems, and contributing to both backend services and frontend interfaces.

Data Center AutomationInformation TechnologyProductivity ToolsProject Management

H1B Sponsor Likely

Responsibilities

Support projects by designing and implementing reinforcement learning systems that bridge research and deployment

Develop RL Models and Pipelines: Design, train, and evaluate reinforcement learning models tailored to dynamic environments and optimization problems

Application Integration: Collaborate with engineers and data scientists to integrate RL models into production systems and interfaces, ensuring usability and performance

Full Stack Contribution: Contribute to backend services, APIs, and React-based frontends supporting RL experiments and applications

Data Exploration and Experimentation: Work with large-scale datasets and simulation environments to inform model development and evaluation

Qualification

Reinforcement LearningPythonJavaScriptPyTorchTensorFlowFastAPIReactClean CodeExperiment TrackingCollaboration

Required

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

PTO

Company

Invisible Technologies

Glassdoor3.9

Invisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI.

Founded in 2015

San Francisco, California, USA

201-500 employees

https://www.invisible.co/

H1B Sponsorship

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2025 (9)