Platform Software Engineer

Introduction

We’re searching for a dedicated Software Engineer who thrives in a fast-paced, high-impact environment, driven to build and scale innovative technologies. This role offers the opportunity to create impactful software, collaborating with a team at the forefront of AI and machine learning advancements.

About the Company

This is a company focused on transforming hiring processes through sophisticated model training that predicts job performance with exceptional accuracy. Trusted by a broad range of clients, from startups to large-scale AI labs, the team is pushing boundaries in machine learning. They have a strong financial backing and are scaling rapidly, drawing from the expertise of notable investors.

About the Role

As a Software Engineer, you’ll bring technical rigor to developing robust backend systems that support machine learning models and real-time data processing. Your work will span from backend development to infrastructure management, with an emphasis on scaling and stability. Working closely with other engineers, you’ll deliver efficient, product-focused solutions in a collaborative, high-energy setting. This role is ideal for someone ready to contribute to product-facing applications in an impactful, tangible way.

What We Can Offer You:

• Hands-on experience with advanced ML models and data-driven hiring systems
• Opportunities for career growth in a rapidly scaling environment
• A dynamic and collaborative team committed to pushing the limits of technology
• Competitive salary with performance-based incentives
• The chance to work on high-impact projects with tangible outcomes
• In-office work in San Francisco, offering face-to-face collaboration

Key Responsibilities:

• Design, implement, and maintain backend systems using Python/Django
• Optimize database structures and queries for performance and scalability
• Collaborate on the development of AI-driven products, ensuring stability and efficiency
• Manage cloud infrastructure and support rapid deployment pipelines on GCP or AWS
• Contribute to high-quality code practices, including testing and documentation
• Take ownership of technical solutions from conception through implementation

Keywords: Software Engineer, backend development, Python, Django, LLMs, cloud infrastructure, database design, AI models, San Francisco tech scene, rapid scaling.