Platform Engineer: ML Infra & Data Pipelines (Remote)

Red Cell Partners, LLC.

United States

Remote

USD 200,000 - 350,000

Full time

5 days ago

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Benefits offered by this job

Career track & rapid advancement

100% employer paid health care

Paid maternity/paternity leave

Unlimited PTO

Professional development

401K, FSA, equity incentives

Mental health benefits

GLP-1 cost solutions

Job summary

Red Cell Partners is seeking a Member of Technical Staff, Platform Engineer (Full Stack) for a stealth startup launching an AI-focused platform. The role is remote within the United States, and you will productionize AI research, build scalable systems for model training, evaluation, and data collection, and strengthen platform reliability and observability.

You will design back-end services, APIs, and data pipelines, while collaborating with research, product, and operations to move research

Qualifications

6+ years of professional experience building full- stack applications, backend systems, distributed systems, or platform infrastructure.
Deep proficiency in TypeScript, React, and modern backend architecture.
Strong experience designing and building scalable backend services, APIs, and data pipelines.
Solid understanding of PostgreSQL, data modeling, distributed systems, and system design.
Demonstrated experience building and operating production systems on AWS or GCP.
Experience developing reliable, observable, and performant production systems.
Ability to translate research or product requirements into maintainable technical architectures and implementations.
Experience working with model training, model evaluation, reinforcement learning environments, AI agents, or data-generation systems is preferred.
Strong understanding of software engineering practices, including testing, code review, technical documentation, and production operations.
Sharp problem-solving capabilities and the ability to diagnose complex issues across the technology stack.
Ability to collaborate effectively with teams across functions and geographies.
Strong written and verbal communication skills.
U.S. citizenship is required.

Responsibilities

Architect and scale our reinforcement learning environments platform and the underlying infrastructure required to support data collection at scale.
Build and operate scalable backend services, APIs, and data-generation pipelines.
Develop modular environment domains that integrate directly with model training and evaluation workflows.
Translate research requirements and prototypes into reliable, production-quality systems.
Build intuitive full-stack tools and interfaces that support research, engineering, and operational workflows.
Design resilient systems with a strong focus on reliability, observability, performance, maintainability, and security.
Develop and maintain data models, storage systems, and platform integrations.
Improve platform architecture and engineering practices to increase developer velocity and system quality.
Partner closely with Research, Product, Engineering, and Operations teams to define technical requirements and advance a shared roadmap.
Participate actively in technical design discussions and contribute sound judgment to architecture and system-design decisions.
Diagnose complex system issues and drive technical problems through resolution.
Write clean, well-tested, and maintainable code while helping establish a high standard for engineering quality.