Senior Full-Stack Software Engineer, Reinforcement Learning

Clera; San Francisco (CA); Hybrid; USD 130,000 - 225,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation assistance

Job summary

Clera in San Francisco builds AI infrastructure products, delivering interfaces, backend services, and internal tools that support reinforcement learning data creation and evaluation. You will partner with research engineers and external partners to turn complex needs into practical software.

Join a team focused on tooling for environments, data workflows, and system observability. This role emphasizes end-to-end ownership of deliverables, collaborating across research, operations, and GTM to

Qualifications

• Minimum 3 years building and shipping production software with end-to-end ownership.
• Proficient in Python and a modern web stack (React/TypeScript/Next.js).
• Experience with backend services, APIs, databases, cloud, Docker, CI/CD, and debugging.

Responsibilities

• Build tools for browsing environments, trajectories, task quality, and model behavior.
• Create partner workflows for environments and training data development.
• Develop dashboards and observability tools for environment quality and data collection progress.
• Design backend services and APIs linking authoring, data collection, evaluation, and training infra.
• Collaborate with research/ops/Go-to-Market teams to ship and improve systems.

Skills

Python

Web stack (React/TypeScript/Next.js)

Backend APIs

Docker & CI/CD

Observability dashboards

Data collection workflows

Job description

About the Role

Join an AI infrastructure team building the product interfaces, backend services, and internal tools that support reinforcement learning data creation and evaluation. You will work with research engineers and external partners to turn complex needs into practical, polished software.

What You'll Do

• Build tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.

• Create partner workflows for developing, submitting, testing, and improving environments and training data.

• Develop 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 infrastructure.

• Collaborate with research, operations, and go-to-market teams to ship and improve systems as needs evolve.

What We're Looking For

• At least 3 years of experience building and shipping production software, with end-to-end ownership of user-facing or internal products.

• Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.

• Experience building backend services, APIs, and databases, plus hands-on cloud infrastructure, Docker, CI/CD, and production debugging.

• Experience creating dashboards, monitoring or observability interfaces, and tools for data inspection, review, or quality assessment.

• Background in data collection, labeling, annotation, evaluation platforms, developer tools, or partner-facing workflows is valuable.

Compensation & Benefits

Annual salary range: $130,000 to $225,000 USD. Visa sponsorship and relocation support are available for eligible full-time candidates moving to the United States or Singapore.

Location

Primarily on-site in San Francisco, California, with an office also available in Singapore. Remote candidates may be considered if they can maintain substantial time zone overlap with either location.