Member of Technical Staff – Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and scale the platform for reinforcement learning environments and the essential infrastructure necessary for large-scale data collection.

• Develop and manage scalable backend services, APIs, and data-generation pipelines.

• Create modular environment domains that seamlessly integrate with workflows for model training and evaluation.

• Convert research requirements and prototypes into dependable, production-ready systems.

• Construct user-friendly full-stack tools and interfaces that facilitate research, engineering, and operational processes.

• Engineer resilient systems prioritizing reliability, observability, performance, maintainability, and security.

• Design and sustain data models, storage solutions, and platform integrations.

• Enhance platform architecture and engineering methodologies to boost developer efficiency and system quality.

• Collaborate with Research, Product, Engineering, and Operations teams to outline technical specifications and progress a unified roadmap.

• Engage in technical design conversations and contribute to architecture and system-design choices.

• Troubleshoot complex system challenges and steer technical issues to resolution.

• Produce clean, well-tested, and maintainable code while helping to uphold high standards of engineering excellence.

⛳️ Requirements

• This is a remote role based in the United States.

• A seasoned full-stack engineer with substantial expertise in backend systems and platform architecture.

• Over 6 years of professional experience in developing full-stack applications, backend systems, distributed systems, or platform infrastructure.

• Extensive proficiency in TypeScript, React, and contemporary backend architecture.

• Strong experience in designing and constructing scalable backend services, APIs, and data pipelines.

• Comprehensive understanding of PostgreSQL, data modeling, distributed systems, and system design.

• Proven experience in building and maintaining production systems on AWS or GCP.

• Experience in developing reliable, observable, and high-performing production systems.

• Capability to translate research or product needs into sustainable technical architectures and implementations.

• Preferred experience with model training, model evaluation, reinforcement learning environments, AI agents, or data-generation systems.

• Solid grasp of software engineering practices, including testing, code review, technical documentation, and production operations.

• Excellent problem-solving skills and the ability to diagnose intricate issues across the technology stack.

• Proficient in collaborating effectively with cross-functional and geographically dispersed teams.

• Strong written and oral communication skills.

• U.S. citizenship is mandatory.

🏝️ Benefits

• Opportunity for career advancement with the potential for rapid growth based on strong performance as the company expands.

• Comprehensive healthcare coverage, including medical, dental, and vision, fully paid by the employer for you and your family.

• Paid maternity and paternity leave for 14 weeks at employees' standard pay.

• Unlimited paid time off (PTO), subject to management approval.

• Access to professional development and ongoing learning opportunities.

• Optional 401K, Flexible Spending Account (FSA), and equity incentives are available.

• Mental health benefits offered through Tara Mind.

• Cost-effective GLP-1 solutions available through Crux.