Full Stack Reinforcement Learning Engineer Specialist

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October 1

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• 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