Full-Stack Software Engineer, Reinforcement Learning

Clera; Oregon; Hybrid; USD 130,000 - 225,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera is seeking an experienced software engineer to build product interfaces, backend systems, and tools for an AI reinforcement learning data platform. You will collaborate with research engineers and partners to translate complex requirements into intuitive products for creating, evaluating, and improving training data.

You will develop tools for browsing environments, review task quality, and understand model behavior, while enabling partner workflows for environments and data.

Qualifications

• 3+ years of full-stack production-grade software experience.
• Proficiency in Python and modern web stack (React/TS/Next.js).
• Experience with AI/ML/RL and end-to-end product ownership.
• Backend services, APIs, databases, and cloud infra (AWS) experience.
• Familiarity with dashboards/observability tools.
• Experience with data workflows, evaluation platforms valuable.
• Strong cross-team communication.

Responsibilities

• Develop tools for browsing environments, trajectories, task quality.
• Build partner workflows for environments and training data.
• Create dashboards and observability tools for quality, results, data collection.
• Design backend services and APIs connecting authoring, data collection, evaluation and training infra.
• Collaborate across research, operations, and go-to-market teams to ship useful systems.

Skills

Full-stack

Python

React/TypeScript

AI/ML/RL

Product ownership

Cloud infrastructure

Education

Bachelor's degree in CS

Tools

Docker

CI/CD

AWS

Kubernetes

Terraform

Grafana

Job description

About the RoleBuild the product interfaces, backend systems, and internal tools that support an AI reinforcement learning data platform. You will work with research engineers and external partners to turn complex requirements into intuitive products for creating, evaluating, and improving training data.

What You'll Do

• Develop tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
• Build 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 that connect task authoring, data collection, evaluation, quality review, and training infrastructure.
• Work across research, operations, and go-to-market teams to ship and improve useful systems.

What We're Looking For

• At least 3 years of full-stack software engineering experience building and shipping production systems, with a technical education or background.
• Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.
• Hands-on experience with AI, machine learning, or reinforcement learning, and a track record of owning products from design through deployment.
• Experience building backend services, APIs, and databases, as well as using cloud infrastructure, Docker, CI/CD, and production debugging practices.
• Experience with dashboards, monitoring or observability tools, data inspection, review workflows, or quality assessment interfaces.
• Experience with data collection, annotation, or evaluation platforms, and tools such as AWS, Kubernetes, Terraform, or Grafana, is valuable.
• Strong product judgment, initiative, and communication across technical and non-technical teams.

Compensation & Benefits

Base salary is $130,000 to $225,000 USD annually. Visa sponsorship is available for eligible full-time candidates.

Location

On-site in San Francisco, California. Remote candidates may be considered if they can maintain 70% to 80% time zone overlap with San Francisco or Singapore.