Remote Full-Stack Software Engineer, Reinforcement Learning
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Tech stack & skills
- Reinforcement Learning
- TypeScript
- React
- Next.js
- Docker
- AWS
- Kubernetes
- Terraform
- Python
- Grafana
- JavaScript
- Go
Requirements
- Minimum 3 years of full-stack software engineering experience with production systems.
- Hands-on experience with AI, machine learning, or reinforcement learning.
- Proficiency in Python and modern web stacks (React, TypeScript, Next.js).
- Experience managing user-facing or internal products from design to deployment.
- Knowledge of backend services, APIs, databases, cloud infrastructure, Docker, CI/CD, and production debugging.
- Background in building dashboards, monitoring tools, data inspection tools, and quality assessment products.
- Experience with data collection, labeling, annotation, or evaluation platforms is a plus; familiarity with AWS, Kubernetes, Terraform, and Grafana is relevant.
- Skills: JavaScript, TypeScript, React.js, Next.js, Docker, AWS, Kubernetes, Terraform, CI/CD, Machine Learning, Python, Go, Grafana
- Experiences: Mid-level
- Employments: Full-time
- Locations: Singapore (Remote), United States (Remote)
Description
- Build product interfaces, backend services, and internal tools for an AI reinforcement learning data platform.
- Collaborate with research engineers and external partners to create and evaluate training data.
Benefits
- Base salary ranging from $130,000 to $225,000 annually.
- Visa sponsorship and relocation support for candidates moving to the U.S. or Singapore.