Where you can work from
United States only
Based on the listing's location: Remote (USA).
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
About Us
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.
About Stealth Startup
We're launching a new startup that is redefining how mission-critical organizations adopt AI. Our platform helps organizations across healthcare, government, and other regulated industries transform institutional knowledge into intelligence assets that improve the accuracy, reliability, and impact of AI in real-world workflows. We're a fast-moving team of builders, researchers, and operators working to help customers create, measure, and continuously improve AI capabilities they can own and control.
About the Role
We are seeking a Member of Technical Staff, Platform Engineer (Full Stack) to productionize AI research and build the scalable systems required to support model training, evaluation, and data collection.
This is a remote, United States-based role for an experienced engineer who can work across the full technology stack while bringing particular strength in backend systems, platform architecture, and infrastructure. You will architect and scale our reinforcement learning environments platform, build the systems that power data collection at scale, and establish the engineering foundations needed to move research into reliable production systems.
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.
About You
• You are an experienced full-stack engineer with deep strength in backend systems and platform architecture.
• You enjoy transforming complex research requirements into scalable, reliable software.
• You can move comfortably between system architecture, data models, backend services, infrastructure, and user-facing applications.
• You approach engineering decisions with an understanding of both immediate product needs and long-term platform implications.
• You are comfortable working with evolving requirements and bringing structure to technically ambiguous problems.
• You prioritize reliability, observability, maintainability, and performance rather than treating them as follow-on activities.
• You make pragmatic technical decisions without compromising the quality of the underlying syste
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