Software Engineer

About the Role Join the engineering team at an applied AI research company building systems for AI training and evaluation. You will own projects across research infrastructure, full-stack products, and human-in-the-loop platforms. What You'll Do Design and build scalable reinforcement learning environments, APIs, and human-in-the-loop platforms. Prototype systems informed by research and deploy distributed experiments on Kubernetes. Build and improve dashboards and data pipelines for evaluation and analytics. Collaborate with research, product, and design to ship features quickly. Write maintainable code and documentation, and contribute to code reviews and design discussions. Address infrastructure reliability and scalability challenges. What We're Looking For Two to five years of full-stack software engineering experience, with end-to-end ownership of a product or substantial project. Hands-on backend or core infrastructure engineering experience. Experience building with Next.js or React, Node.js or Python, and Kubernetes. Familiarity with Kafka, Redis, or Elasticsearch is useful. Strong software engineering fundamentals and experience working in a high-growth technology environment. Experience with AI training data, evaluation, reinforcement learning, or collaborating with AI researchers is relevant. Compensation & Benefits Base salary is $260,000 to $290,000 USD annually. Visa sponsorship is available. Location This is an on-site role in San Francisco, California.