TL;DR

Fullstack Reinforcement Learning Engineer Specialist (AI): Designing and implementing reinforcement learning systems that bridge research and deployment, contributing to both backend services and frontend interfaces for RL-driven applications. Focus on developing RL models and pipelines, integrating them into production systems, and working with large-scale datasets and simulation environments.

Location: Must be based in Brazil

Salary: $30+ per hour

Company

%hirify_global% develops Meridial Marketplace, supporting projects by designing and implementing reinforcement learning systems.

What you will do

Design, train, and evaluate reinforcement learning models tailored to dynamic environments.
Collaborate with engineers and data scientists to integrate RL models into production systems.
Contribute to backend services, APIs, and React-based frontends supporting RL 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.
Strong programming skills in Python and JavaScript, 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).
Experience with backend frameworks (FastAPI, Flask) and frontend frameworks (React, Vue).
Comfort with containerization and cloud environments (GCP, AWS).
Ability to produce clean, modular, and testable code in collaborative environments.

Culture & Benefits

This is a freelance project opportunity.
As a contractor, you will supply a secure computer and high-speed internet.
Company-sponsored benefits such as health insurance and PTO do not apply.
Final pay rate is determined after evaluating experience, expertise, and geographic location.
All candidates must pass an interview as part of the contracting process.