Principal Applied AI Researcher - Domain- Specific Models (Brazil)

Articul8 AI, Inc.

Job Overview

Location

Brazil/Remote

Job Type

Full-time

Full Job Description

📋 Description

• Principal Applied AI Researcher - Domain-Specific Models (Brazil) at Articul8 AI, Inc. leads research to build, evaluate, and scale domain-specific models as a durable source of competitive advantage for regulated industries including energy, semiconductor, finance, aerospace, and supply chain.
• Day-to-day responsibilities include setting company-level technical direction for domain-specific model strategy, architecting agentic model development paradigms, pushing the frontier of domain-specific model science through research on adaptation methodologies and training dynamics, shaping model strategy across all domains using agent-driven competitive intelligence, defining evaluation strategy as an agentic discipline, leading cross-cutting research initiatives, influencing platform-level decisions, mentoring senior researchers, and maintaining hands-on research impact through technical work, publications, and patents.
• The team at Articul8 combines research, engineering, product, and domain expertise to deliver AI that meets accuracy, explainability, and auditability standards demanded by high-stakes environments, trusted by Fortune 500 enterprises.
• In this role, the individual can learn to lead organizational research direction, shape model lifecycle and portfolio strategy, design agent-orchestrated research infrastructure, and drive breakthroughs that compound across the platform while mentoring top talent and sustaining world-class research impact.

🎯 Requirements

• PhD or MSc in Computer Science, Machine Learning, NLP, or a related field
• 10+ years in AI/ML research with an exceptional track record of impact — models or systems built are in production and measurably changed outcomes, including 4+ years developing LLM-based systems
• Deep hands-on experience across the full model development lifecycle — continued pretraining, supervised fine-tuning, post-training alignment, and production evaluation
• Designed evaluation methodology that goes beyond leaderboard metrics — domain-expert grounded assessment, systematic error analysis, robustness under distribution shift, and readiness criteria for high-stakes deployment
• Direct experience training or adapting models on large GPU clusters using distributed frameworks (DeepSpeed, FSDP, Megatron-LM)
• Proficient in Python and PyTorch — still writes code, reviews code, and goes deep when the problem demands it
• Shaped research direction at the organizational level — defining what bets to make, what to stop, and how to allocate research investment across competing priorities

🏖️ Benefits

• Opportunity to lead research that serves regulated industries including energy, semiconductor, finance, aerospace, and supply chain with AI that meets accuracy, explainability, and auditability standards
• Work with Fortune 500 enterprises and shape model strategy that creates and sustains competitive advantage in high-stakes environments
• Lead agent-orchestrated research infrastructure that enables researchers to operate at a fundamentally higher level of depth, breadth, and velocity
• Mentor senior researchers and raise the ceiling on human potential while maintaining hands-on research impact through publications, patents, and externally visible output
• Influence platform-level decisions including model lifecycle management, release criteria, and integration architecture for co-evolution of humans and agentic systems
• Build AI that is trustworthy, auditable, and genuinely useful for industries and people who depend on these models for critical decisions

Skills & Technologies

Python

PyTorch

Senior

Remote

Degree Required

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Articul8 AI, Inc.

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About Articul8 AI, Inc.

Articul8 AI builds a cloud-agnostic, enterprise-grade generative AI platform that converts proprietary data into production-ready models for financial services, telecommunications, semiconductor and aerospace clients. Founded as an Intel spin-out in 2023, the company delivers vertically-tuned LLMs that stay within customers’ security perimeters, offering deployment options from on-premises to public clouds. Its stack covers data ingestion, fine-tuning, inference optimization and governance, enabling regulated industries to accelerate AI adoption while meeting compliance, latency and cost constraints.

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