Full-Stack Software Engineer, Reinforcement Learning
TLDR
Build interfaces, backend services, and observability tools for reinforcement learning data workflows, from task authoring through evaluation.
About the Role
Join an early-stage AI infrastructure team building the product interfaces, backend services, and internal tools that support reinforcement learning data workflows. You will work with research engineers and external partners to turn complex needs into polished products for creating, evaluating, and improving training data.
What You'll Do
Build tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
Develop partner workflows for creating, submitting, testing, and iterating on environments and training data.
Create dashboards and observability tools for environment quality, evaluation results, data collection progress, and pipeline health.
Design backend services and APIs connecting task authoring, data collection, evaluation, quality review, and training systems.
Collaborate across research, operations, and go-to-market teams to ship useful systems amid evolving requirements.
What We're Looking For
At least 3 years of full-stack software engineering experience building and shipping production systems.
Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.
Experience owning user-facing or internal products from design through deployment.
Experience building data inspection, review, quality assessment, dashboard, or observability tools.
Experience with backend services, APIs, databases, cloud infrastructure, Docker, CI/CD, and production debugging.
Clear communication skills and the initiative to identify needs and improve products independently.
Experience with data collection, labeling, evaluation, developer tools, or partner-facing workflows is valuable. AWS, Kubernetes, Terraform, and Grafana experience is also useful.
Compensation & Benefits
Visa sponsorship and relocation support are available for strong full-time candidates relocating to the United States or Singapore.
Location
On-site in San Francisco, California. The team also has an office in Singapore.
Benefits
Relocation support
Visa Sponsorship
Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professionals who align with their needs.
- Founded
- Founded 2024
- Industry
- Internet Software & Services