Remote Platform Engineer - Scalable ML Infra & Tools

Ladders

United States

Remote

USD 200,000 - 350,000

Full time

11 hours ago
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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

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.

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