Member of Technical Staff, Platform Engineer (New Stealth Startup)

Ladders; United States; Remote; USD 200,000 - 350,000; Full time

Benefits offered by this job

Health insurance for employees and/or?

14 weeks paid parental leave

Unlimited PTO

401K and equity incentives

Professional development

Mental health benefits

Job summary

Ladders is seeking a Member of Technical Staff, Platform Engineer to build the foundation for a new venture with scalable platform services that support research, experimentation, and production-grade systems. This role partners with researchers and cross-functional stakeholders to transform prototypes into reliable infrastructure.

The position spans backend engineering, full-stack tooling, and systems design to enable high-performance workflows and long-term platform growth in a remote setup.

Qualifications

• 7+ years of experience in full-stack applications and backend systems.
• Proficiency in TypeScript, React, and modern backend architecture.
• Strong background in designing scalable backend services and APIs.
• Solid understanding of PostgreSQL and distributed systems.
• Experience with production systems on AWS or GCP; ability to translate research requirements into technical architectures.
• Familiarity with AI model training and reinforcement learning environments is preferred.

Responsibilities

• Architect and scale reinforcement learning environments and infrastructure for data collection.
• Build and operate scalable backend services, APIs, and data pipelines.
• Develop modular environment domains for model training and evaluation workflows.
• Translate research prototypes into reliable production systems.
• Create full-stack tools and interfaces for research and operational workflows.
• Design resilient systems focused on reliability, performance, and security.
• Collaborate with cross-functional teams to define technical requirements and advance roadmaps.

Skills

TypeScript

React

Backend architecture

Distributed systems

PostgreSQL

AI model training

Reinforcement learning

Tools

AWS

GCP

Job description

For our client, we are seeking a Member of Technical Staff, Platform Engineer to join the team of a leader in the Enterprise Technology space.

The role will focus on building the technical foundation for a new venture, with an emphasis on scalable platform services that support research, experimentation, and production-grade systems. This person will partner closely with research and cross-functional stakeholders to turn prototypes into reliable infrastructure. The work will span backend engineering, full-stack tooling, and systems design to enable high-performance workflows and long-term platform growth.

Location: Remote

Compensation: $200,000 – $350,000 annually

Responsibilities

• Architect and scale reinforcement learning environments and infrastructure for data collection
• Build and operate scalable backend services, APIs, and data pipelines
• Develop modular environment domains for model training and evaluation workflows
• Translate research prototypes into reliable production systems
• Create full-stack tools and interfaces for research and operational workflows
• Design resilient systems focused on reliability, performance, and security
• Collaborate with cross-functional teams to define technical requirements and advance roadmaps

Qualifications

• 6+ years of experience in full-stack applications and backend systems
• Proficiency in TypeScript, React, and modern backend architecture
• Strong background in designing scalable backend services and APIs
• Solid understanding of PostgreSQL and distributed systems
• Experience with production systems on AWS or GCPAbility to translate research requirements into technical architectures
• Familiarity with AI model training and reinforcement learning environments is preferred

Benefits

• Career advancement opportunities with strong performance
• 100% employer-paid comprehensive health care for employees and families
• 14 weeks of paid maternity and paternity leave at normal pay
• Unlimited PTO with management approval
• Opportunities for professional development and continued learning
• Optional 401K, FSA, and equity incentives available
• Mental health benefits through Tara Mind

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.