
51 - 200 employees
Founded 2022
💳 Fintech
👥 HR Tech
☁️ SaaS
🔥 Funding within the last year
💰 $52M Series A on 2026-06
Fintech • HR Tech • SaaS
Niural AI is a financial technology company that provides a unified HR, payroll, workforce and payments platform. Niural combines US payroll, PEO, EOR, contractor management, multi-currency wallets and cross-border payments (including fiat and stablecoins) in a single SaaS product, with AI-driven automation features called Niural AI SuperAgents that auto-populate invoices and assist with payroll and operations. The platform targets businesses ranging from startups to global enterprises and emphasizes automated payroll and regulatory compliance, global hiring, FX and treasury-like wallet features, and integrations with banking and payment partners. Niural is not a bank and works with partner banks and payment providers for banking and international payment services.
🔥 1 hour ago
Where this job comes from
Posted on Niural AI's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago

51 - 200 employees
Founded 2022
💳 Fintech
👥 HR Tech
☁️ SaaS
🔥 Funding within the last year
💰 $52M Series A on 2026-06
Fintech • HR Tech • SaaS
Niural AI is a financial technology company that provides a unified HR, payroll, workforce and payments platform. Niural combines US payroll, PEO, EOR, contractor management, multi-currency wallets and cross-border payments (including fiat and stablecoins) in a single SaaS product, with AI-driven automation features called Niural AI SuperAgents that auto-populate invoices and assist with payroll and operations. The platform targets businesses ranging from startups to global enterprises and emphasizes automated payroll and regulatory compliance, global hiring, FX and treasury-like wallet features, and integrations with banking and payment partners. Niural is not a bank and works with partner banks and payment providers for banking and international payment services.
• Build sandboxed, stateful environments wrapping real Niural payroll, contractor onboarding, invoice reconciliation, and compliance workflows • Make environments seeded and replayable, with difficulty controls and curriculum structures • Generate synthetic data for environments because real customer payroll data cannot leave Niural systems • Design programmatic verifiers from known ground truth and minimize model-as-judge usage • Score trajectories and defend against reward hacking and contamination • Run reinforcement learning loops, curriculum schedules, fine-tuning, and distillation where appropriate • Establish baselines, run ablations, and measure whether improvements generalize • Publish and document measured negative results internally • Prototype agent architectures, memory strategies, tool-use patterns, and scaffolds in one- to two-week spikes • Hand successful prototypes to production-agent teams and remain involved through deployment • Write first-author research papers for Niural AI with reproducible methodology and honest limitations • Produce internal technical reports and represent the work through preprints, talks, and potentially open-sourced environments • Work inside the product team alongside the AI Product Manager and production-agent engineers • Deliver experiments that influence shipped products and customer-facing systems
• A published, peer reviewed paper at a conference or in a journal; this is a firm requirement • Foundational knowledge of AI and machine learning • Strong Python, including numpy and the scientific stack • Ability to write code other people can build on • Ability to build and run services, including APIs, databases, queues, Docker, deployment, logging, and debugging • Practical experience with agent systems, harnesses, tool use, and multi-step workflows that run unattended • Reinforcement learning literacy; ability to read a policy optimization paper and implement it • Opinions and knowledge about reward design • Reproducibility as a habit; others can clone the repository, follow the README, and reproduce results • Evidence of impactful work, such as a used product, cited or extended result, open-source project with real users, or system that changed a company decision • Able and willing to work a permanent night shift on US hours • Hands-on work with gym-style environments or RL training frameworks • Evaluation tooling, harness engineering, or benchmark construction • Synthetic data generation, fine-tuning, or distillation experience • Docker, sandboxing, and distributed training infrastructure • Open-source contributions that other people depend on • Fintech, payroll, HR tech, or compliance exposure • Writing outside of papers, such as a blog, documentation, or teaching
• Competitive salary package designed to reward your expertise and contributions • Access to continuous learning and career advancement programs • Opportunities for mentorship and coaching to help you grow in your career • Supportive and collaborative work environment where ideas are valued and teamwork is encouraged • Complimentary snacks and lunch provided to keep you energized throughout the shift • Latest MacBook Pro and a high-performance monitor will be provided • "Fast track" admissions to selected US universities for star performers who may want to pursue a Master's in CS in the US • High performers will be sponsored for L1 visas as well as immigrant visas (Green Card) to the US • Opportunity to publish research with your name on it • Share in the financial upside of building foundational internet infrastructure
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🕒 July 27
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