---
title: 'Machine Learning Engineer at Articul8'
canonical: 'https://feeny.ai/job/machine-learning-engineer-articul8-dublin-hj5recg6htpe'
type: 'job'
last_seen: '2026-09-10'
---

# Machine Learning Engineer at Articul8

- **Company:** Articul8
- **Location:** Dublin, Ireland
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/articul8/a6a71ee8-68af-4d33-ab48-2bee47b56ed9/application

**Skills:** Python, PyTorch, Distributed systems, Data processing pipelines, Multiprocessing, Ray, Docker, Kubernetes, Web crawling, Data ingestion, Scrapy, VPNs, Selenium, Hadoop, Datasketch, Key-value databases, Infrastructure-as-Code

> Join Articul8 as a Machine Learning Engineer to build and own end-to-end data pipelines for training domain-specific AI models. You will design scalable distributed systems, implement ML models for data quality, and collaborate with research teams to acquire high-quality data.

## Job description

About us: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis.  You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end.  You will work closely with other researchers and engineers to empower our next generation of domain-specific models.  We value rapid prototyping, iterating, and shipping new systems quickly. Required Qualifications:

- BS/MS/PhD in Computer Science or a related field.
- Proficiency in at least one deep learning framework, such as PyTorch.
- Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem.
- Strong expertise in large stateful distributed systems and data processing.
- Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes).
- Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code.
- Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality.

## Key Competencies

- Active Github contributions are a big plus.
- Experience in building large-scale datasets.
- Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch).
- Building bespoke data processing libraries from scratch.
- Keeping up with state-of-the-art techniques for preparing AI training data.
- Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
- Multilingual which contributes to enriching the language diversity crucial for robust model training.

Responsibilities:

- Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc.
- Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc.
- Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing.
- Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
- Develop and deploy highly scalable distributed systems capable of handling terrabytes of data.
- Architect and implement algorithms for data indexing and search capabilities.
- Build and maintain backend services for data storage, including work with key-value databases and synchronization.
- Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks.

By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

## About Articul8

## Company Overview
- **One-liner**: Articul8 provides a full-stack domain-specific generative AI platform for enterprises in regulated industries, enabling them to build expert-level AI applications within their own IT environments.
- **Entity Type**: Private (Series B)
- **Headquarters**: Dublin, California, USA
- **Founded**: 2024
- **Founders**: Arun K. Subramaniyan

## Core Business
- **Primary industry/industries**: Enterprise AI, Generative AI, Domain-Specific AI
- **Target customers**: Large enterprises in regulated industries including energy, manufacturing, aerospace, semiconductors, and financial services (B2B, Enterprise)
- **Mission or purpose statement**: To transform enterprise data and expertise into powerful engines of growth, value, and impact by making it straightforward for companies to build sophisticated, enterprise-scale, and expert-level GenAI applications that encode their domain expertise.

## Products & Services
- **Articul8 Platform**: A full-stack GenAI platform that processes enterprise data into AI applications, facilitating decision-making, data automation, and adherence to security and privacy standards. It features autonomous agentic reasoning, model evaluation and dynamic routing (LLM-IQ™), and a proprietary ModelMesh™ for multi-agent collaboration.
- **Domain-Specific Models (DSMs)**:
  - **A8-Energy**: Developed with EPRI; trained on 10,000+ specialized energy datasets for expert reasoning in the energy sector.
  - **A8-SupplyChain**: Optimized for manufacturing and supply chain operations; reasons over complex technical documentation without data replication.
  - **A8-Fin**: Finance-focused DSM for tasks such as tabular analysis, portfolio management, and compliance.
  - **A8-Semicon**: Verilog-capable DSM for semiconductor engineering, integrating domain knowledge with reasoning for complex chip design workflows.
- **Hyper-Personalized Agent Models**: Developing hyper-personalized agents for enterprise users.

## Market Standing
- **Valuation/Market Cap**: $500 million pre-money valuation (Series B, January 2026)
- **Key Metric**: Total funding of $35M raised (Series B, first tranche); $100 million in total contract value; projected annual recurring revenue of just over $57 million for 2026
- **Notable Investors/Partners**: Adara Ventures (lead), Aditya Birla Ventures, Accel, Peak XV Partners, NXC, and 14+ others. Partners include Nvidia, Google Cloud, AWS, and Databricks. Customers include Hitachi Energy, AWS, Franklin Templeton, Intel, AIAA, Itochu Techno-Solutions Corporation, Uptycs, and NIQ.
- **Growth Signals**: Revenue-positive with 29 paying customers; 5x valuation increase from Series A ($100M post-money) to Series B ($500M pre-money); expanding internationally with focus on Europe and Asia (Japan, South Korea, India); recognized by Gartner as a Tech Innovator in Domain-Specific AI for Manufacturing and Energy.

## Competitive Advantages
- **Domain-Specific Focus**: Unlike general-purpose models, Articul8’s DSMs are purpose-built for regulated industries, achieving 90%+ accuracy versus ~60% for competing models in proprietary benchmarks, and 28% more accurate than leading general LLMs.
- **Enterprise-Grade Security**: SOC 2 Type II compliant with certified security and confidentiality standards, observability, auditability, and traceability at every step.
- **Cost Efficiency**: 3.5x cheaper than best open-source models, with a 2x performance boost over the latest open-source state-of-the-art models.
- **Proven Performance**: Matches or exceeds proprietary models like Google Flash 2.0 and GPT-4o at a fraction of the compute cost.
- **Customer Lock-In**: Deep integration into customer IT environments and domain-specific workflows creates high switching costs.

## Strategic Focus
- **International Expansion**: Scaling operations in Europe (backed by Adara Ventures and the European Investment Fund) and Asia (Japan, South Korea, India).
- **Heritage AI Venture**: Raising $30-50 million for an India-based AI entity focused on traditional knowledge systems (Sanskrit, classical Indian languages) with applications in drug discovery, metallurgy, healthcare, and education.
- **Product Development**: Expanding research and product development, particularly in agentic reasoning systems and hyper-personalized models.
- **Marketplace Availability**: Available on AWS, Microsoft Azure, Google Cloud Platform, and Databricks to simplify deployment and integration.

## Why Work Here
- **Culture**: 80% of the 75-person team is focused on R&D, indicating a strong engineering and research culture. The company is revenue-positive and not cash-strapped, providing stability.
- **Remote/Hybrid Policy**: Offers remote and hybrid roles across offices in Dublin, CA (USA), Brazil, and India.
- **Notable Perks**: Opportunity to work on cutting-edge domain-specific AI for regulated industries; involvement in a high-growth spinout from Intel with strong backing from top-tier VCs; chance to contribute to heritage AI initiatives preserving ancient knowledge systems.
- **Engineering Culture**: Emphasis on autonomous decisions and actions, automated data intelligence, and building expert-level GenAI applications. Roles include Applied AI Researchers, Software Engineers, and Infrastructure Engineers.

## Sources
1. [articul8.ai](https://www.articul8.ai/)
2. [cbinsights.com](https://www.cbinsights.com/company/articul8-ai)
3. [techcrunch.com](https://techcrunch.com/2026/01/07/intel-spin-off-articul8-is-halfway-to-70m-ai-funding-round-at-500m-valuation/)
4. [builtin.com](https://builtin.com/company/articul8-ai)
5. [pitchbook.com](https://pitchbook.com/profiles/company/550870-03)

## Other roles at Articul8

- [Builder Product Manager, AI Platform & Agentic Workflows](https://feeny.ai/job/builder-product-manager-ai-platform-agentic-workflows-articul8-dublin-26fm156mng11) — Dublin, Ireland
- [Infrastructure Engineer (India)](https://feeny.ai/job/infrastructure-engineer-india-articul8-brazil-wadq2s02sb00) — Brazil
- [Infrastructure Engineer (Brazil)](https://feeny.ai/job/infrastructure-engineer-brazil-articul8-brazil-17gjyty3g16w) — Brazil
- [Software Engineer (India)](https://feeny.ai/job/software-engineer-india-articul8-brazil-xgkd5dbqes6z) — Brazil
- [Software Engineer (Brazil)](https://feeny.ai/job/software-engineer-brazil-articul8-brazil-07c8ctsqw9qp) — Brazil
- [Principal Applied AI Researcher - Domain- Specific Models (Dublin, CA)](https://feeny.ai/job/principal-applied-ai-researcher-domain-specific-models-dublin-ca-articul8-dublin-28ps4ypf0bha) — Dublin, Ireland
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- [Staff Applied AI Researcher - Agentic Reasoning Systems (India)](https://feeny.ai/job/staff-applied-ai-researcher-agentic-reasoning-systems-india-articul8-dublin-gfx6w6hzbkfg) — Dublin, Ireland
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