Full-Time

Machine Learning Engineer

Data Pipeline

Articul8

Articul8

51-200 employees

Provides enterprise AI solutions and tools

No salary listed

Dublin, CA, USA

In Person

Bachelor's, Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Kubernetes
Python
Distributed Systems
Neural Networks
Git
PyTorch
Machine Learning
Data Engineering
Infrastructure as Code (IaC)
Docker
Hadoop
Selenium
Computer Vision
Data Analysis

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Requirements
  • A Bachelor of Science, Master of Science, or Doctor of Philosophy degree in Computer Science or a related field is required.
  • Proficiency in at least one deep learning framework, such as PyTorch, is required.
  • Experience with machine learning projects in text or vision, including training machine learning models to solve a specific problem, is required.
  • Strong expertise in large stateful distributed systems and data processing is required.
  • Strong proficiency in building large-scale data processing pipelines and familiarity with distributed workloads such as multiprocessing, Ray, Docker, and Kubernetes are required.
  • Proficiency in at least one programming language commonly used in machine learning, such as Python, and the ability to write clean, maintainable code are required.
  • Strong problem-solving skills and attention to detail when handling data anomalies and biases to improve data quality are required.
Responsibilities
  • Design and develop data processing pipelines, including data extraction, data filtering, and data labeling.
  • Implement machine learning models to improve the quality and diversity of data, especially during data extraction, including quality classifiers, document layout models, and code verification models.
  • Own and lead engineering projects involving data acquisition, including web crawling, data ingestion, and data processing.
  • Collaborate with Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability.
  • Develop and deploy highly scalable distributed systems capable of handling terabytes 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.
Desired Qualifications
  • Active GitHub contributions are a plus.
  • Experience building large-scale datasets.
  • Familiarity with at least one data-crawling tool such as Scrapy, data-collection tools such as VPNs or Selenium, or data-processing tools such as Hadoop or Datasketch.
  • Experience building bespoke data-processing libraries from scratch.
  • Knowledge of state-of-the-art techniques for preparing artificial intelligence training data.
  • Experience organizing and meticulously bookkeeping data across multiple clouds, modalities, and sources.
  • Multilingual ability to enrich language diversity for robust model training.

Articul8 AI builds AI software for large companies. Its main products are tools and platforms that plug into a company’s existing systems to make operations smoother and decisions smarter. The technology likely covers natural language processing, predictive analytics, and custom machine learning models designed for business intelligence, all delivered as enterprise-ready tools. Instead of selling standalone, generic AI, Articul8 AI emphasizes easy integration, reliability, and practical use in real business environments. The company aims to help enterprises adopt AI at scale, improving efficiency, data insights, and decision-making across departments. With significant funding and a unicorn valuation, Articul8 AI positions itself as a serious provider of enterprise AI that can be integrated into current tech stacks and workflows.

Company Size

51-200

Company Stage

Series B

Total Funding

$70M

Headquarters

Palo Alto, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 Series B finished at a $500 million pre-money valuation.
  • January 2026 management said Articul8 surpassed $90 million total contract value.
  • ASME, EPRI, AWS, and Google partnerships expand credibility across regulated industries.

What critics are saying

  • Microsoft, Google, AWS, and industrial software vendors can bundle similar features quickly.
  • Its value depends on a few large enterprise contracts; any renewal miss hurts growth.
  • If general-purpose models match industrial accuracy by 2027, Articul8's wedge collapses.

What makes Articul8 unique

  • July 2026 ASME partnership targets engineering standards with auditability, traceability, and trust.
  • Articul8 runs customer-deployed AI across public, private, sovereign, and air-gapped environments.
  • June 2026 industrial software win made Articul8 the core GenAI engine after competition.

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Benefits

Professional Development Budget

Flexible Work Hours

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-1%

2 year growth

10%
CNBC
Aug 17th, 2026
Articul8 CEO on spinning out of Intel with $500M valuation

Arun Subramaniyan, founder and chief executive officer of Articul8, discussed his enterprise generative-AI company that spun out of Intel. The firm raised a Series B at approximately $500 million pre-money valuation in June. Subramaniyan, born in southern India to a physician father and homemaker mother, developed an interest in flight during middle school. He earned a PhD at Purdue University and worked on jet engines at GE before focusing on bringing domain-specific AI to enterprises. The conversation covered Subramaniyan's journey from his early fascination with aviation to building an enterprise AI company.

IT Business Net
Jul 14th, 2026
Articul8 AI and ASME announce industry-first domain-specific GenAI model for engineering standards.

Articul8 AI and ASME announce industry-first domain-specific GenAI model for engineering standards. NEW YORK and SAN JOSE, Calif., July 14, 2026 (GLOBE NEWSWIRE) - The American Society of Mechanical Engineers (ASME), one of the world's most respected and longstanding engineering organizations, is collaborating with Articul8 AI, an enterprise domain-specific generative AI company, to announce a first-of-its-kind domain-specific GenAI model for engineering standards. This announcement represents a major milestone in the modernization of engineering knowledge and demonstrates how AI can be responsibly deployed in high-stakes industrial environments where accuracy, repeatability, auditability, and trust are essential. Machine Learning & Artificial Intelligence The new model transforms how engineers, designers, and technicians interact with ASME's vast library of engineering codes and standards, documents that underpin the safe design and efficient operation of critical infrastructure across aerospace, energy and power, manufacturing, nuclear, petrochemical, oil & gas, and utilities industries worldwide. The GenAI model and collaboration have already drawn strong industry interest and early validation from leading industrial and manufacturing organizations, including several Fortune 500 companies. The response reflects growing demand for AI systems purpose-built for the precision and accuracy that engineering standards require. ASME: Leading the Responsible and Scalable Adoption of AI in Engineering Founded in 1880, ASME has played a foundational role in advancing engineering safety, reliability, and innovation for nearly 150 years. With more than 72,000 members across 130 countries, and approximately 600 codes and standards, including the globally adopted Boiler and Pressure Vessel Code, ASME helps define the safety and performance benchmarks for critical systems used by millions of engineers worldwide. By collaborating with Articul8 to develop a domain-specific AI model for its standards, ASME is taking a leadership role in demonstrating how AI can be responsibly deployed in high-stakes engineering contexts; not as a replacement for human expertise, but as a force multiplier that makes decades of accumulated engineering knowledge more accessible, searchable, and actionable for frontline product and systems designers, builders and implementers across industry sectors and engineering disciplines. Scaling Domain-Specific AI Across Critical Industries This announcement marks the latest milestone in Articul8's mission to build domain-specific GenAI models for the world's most demanding industries. The model leverages Articul8's proprietary data perception product that autonomously builds a knowledge graph using domain-specific models along with unique domain-alignment methodologies to create a purpose-built system that understands the language, structure, and technical nuance of engineering standards. While the domain-specific model serves as a primary interface for interacting with engineering standards, organizations will also be able to access the underlying engineering knowledge through application programming interfaces (APIs), model context protocol (MCP) interfaces, and knowledge graph services. This broader architecture enables customers to incorporate ASME standards intelligence into digital engineering tools, enterprise systems, and agentic AI workflows using the access model that best fits their environment. The platform is designed to operate across cloud and on-premises environments, enabling organizations to deploy AI within highly regulated and security-sensitive operational environments. The collaboration also demonstrates how domain-specific AI systems can help organizations move beyond experimentation with general-purpose AI tools toward production-grade systems built for high-stakes decision-making and operational workflows. Customer Relationship Management (CRM) Quotes Tom Costabile, Executive Director/CEO, ASME: "For nearly 150 years, ASME has been at the forefront of engineering innovation. As the industrial sector enters a new era of AI-driven transformation, we have a responsibility to lead in demonstrating how AI can be applied safely and effectively in engineering. Our collaboration with Articul8 will help transform ASME's engineering standards into trusted digital intelligence that can be accessed through AI applications, enterprise integrations, knowledge graph services, and emerging agentic workflows, making decades of engineering expertise more accessible while preserving the rigor and trust that define ASME standards. This is how we make nearly 150 years of accumulated engineering knowledge work harder for the next generation." Dr. Arun Subramaniyan, Founder and CEO, Articul8 AI: Discover more Business & Industrial Business & Corporate Law Cloud Computing "Industrial AI requires far greater precision, context, and accountability than general-purpose systems were designed to provide. ASME's codes and standards are the safety backbone of industries ranging from nuclear energy to aerospace, and represent some of the most valuable and trusted knowledge systems in the world. By collaborating with ASME, we are helping transform decades of engineering expertise into operational intelligence that can support the next generation of industrial AI applications. This is how enterprise AI scales, through systems that are purpose-built for the realities of specific domains." Setting the Stage for GenAI in the Industrial Sector The Articul8-ASME collaboration signals a broader inflection point for AI adoption in the industrial sector, as well as for standards developers and solutions providers. As organizations move beyond experimentation with general-purpose AI chatbots, the demand for domain-specific models trained on proprietary, expert-curated data and purpose-built for high-stakes decision-making, is rapidly accelerating. Articul8's growing portfolio of domain-specific models, spanning industries such as energy (A8-Energy), semiconductors (A8-Semicon), supply chain (A8-SupplyChain), financial services (A8-Fin), and now engineering standards, demonstrates a repeatable, scalable approach to enterprise GenAI that prioritizes accuracy, traceability, and domain expertise over model size. For additional information from ASME, please contact [email protected] or request additional information from Articul8 at [email protected]. About Articul8 AI Articul8 AI is the enterprise domain-specific generative AI company. Launched in January 2024, Articul8 builds domain-specific GenAI platform for mission-critical, regulated industries including energy, manufacturing, aerospace and defense, financial services, semiconductors, and telecommunications. The company's proprietary technology including its ModelMesh(TM) autonomous reasoning engine, domain-specific model library, and Data Perception and Asset Performance Management Suites, enables enterprises to unlock value from complex proprietary data with enterprise-grade accuracy, security, and compliance. Articul8 is SOC 2 Type II certified and available on AWS, Microsoft Azure, Google Cloud Platform, and Databricks marketplaces. For more information, visit articul8.ai. Machine Learning & Artificial Intelligence About ASME ASME helps the global engineering community develop solutions to real-world challenges. Founded in 1880 as the American Society of Mechanical Engineers, ASME is a not-for-profit professional organization that enables collaboration, knowledge sharing, and skill development across all engineering disciplines, while promoting the vital role of the engineer in society. ASME codes and standards, publications, conferences, continuing education, and professional development programs provide a foundation for advancing technical knowledge and a safer world. In 2020, ASME formed the International Society of Interdisciplinary Engineers (ISIE) II & III LLC, a new for-profit subsidiary to house business ventures that will bring new and innovative products, services, and technologies to the engineering community. For more information, visit www.asme.org. Media Contacts: Articul8 AI - Pradeep Salapakkam, [email protected], +1 513-402-0493 ASME - Monica Shovlin, [email protected], +1 541-554-3796

GlobeNewswire
Jun 16th, 2026
Articul8 AI secures strategic investment from global industrial software leader to complete Series B.

Articul8 AI secures strategic investment from global industrial software leader to complete Series B. Selected as core GenAI engine after competitive evaluation against general-purpose and enterprise AI platforms. June 16, 2026 08:00 ET | Source: Articul8 SANTA CLARA, Calif., June 16, 2026 (GLOBE NEWSWIRE) - Articul8 AI today announced the completion of its Series B financing at a $500 million pre-money valuation through a strategic investment and commercial partnership with a global industrial software leader serving thousands of customers across asset-intensive and mission-critical industries. The partnership establishes Articul8's domain-specific AI platform as the core GenAI engine for the partner's next-generation asset lifecycle management, engineering simulation, and industrial operations software. The deal is expected to deliver an eight-figure increase in Articul8's annual recurring revenue, building on more than $100 million in cumulative total contract value. The announcement follows Gartner's recognition of Articul8 as a Tech Innovator in Domain-Specific Models for Heavy Industries and further validates the company's approach to delivering domain-specific AI for manufacturing, energy, and other asset-intensive industries where operational context and engineering expertise are critical. "The partner conducted an extensive evaluation of the GenAI landscape and selected Articul8 because we consistently outperformed on the capabilities that matter most for mission-critical industrial applications: accuracy, repeatability, security, and total cost of ownership. Our platform demonstrated a unique ability to work with highly complex industrial data, including engineering drawings, equipment hierarchies, work orders, sensor data, maintenance records, compliance documentation, and domain-specific technical knowledge," said Arun Subramaniyan, Founder and CEO of Articul8. "As general-purpose AI becomes increasingly commoditized, differentiation shifts to systems that understand the operational context of an industry. This partnership validates our conviction that domain-specific GenAI will define the next phase of enterprise adoption." Articul8 delivers a vertically integrated enterprise AI platform purpose-built for industrial data and mission-critical operations. Its Data Perception product connects directly to more than 25 enterprise and operational systems, including Supervisory Control and Data Acquisition (SCADA) systems, data historians, Product Lifecycle Management (PLM) platforms, Enterprise Resource Planning (ERP) systems, engineering drawings, sensor feeds, maintenance systems, and document repositories, creating a unified knowledge graph without requiring data movement. The platform includes more than two dozen domain-specific AI models validated by industry experts and deployed across energy, manufacturing, semiconductors, aerospace, financial services, and telecommunications. AgentMesh reasons at runtime across multiple AI agents that work collaboratively on engineering workflows, diagnose root causes, validate compliance, and answer operational questions, with every action explainable and auditable. The Articul8 platform deploys across public, private, sovereign, and air-gapped environments, enabling secure enterprise deployments while keeping customer data and intellectual property fully within the customer's control. The accuracy gap between domain-specific and general-purpose AI on industrial data is substantial and widening. On industrial entity extraction, Articul8's domain-specific models achieve 96.9% accuracy on the same benchmarks where GPT-5 achieves 71%, Llama 4-Scout achieves 62%, and Llama 3.3-70B achieves 58%. On single-line diagram component detection, a task central to grid and process engineering, general-purpose LLMs score below 1% on both precision and recall (practically unusable), while Articul8 achieved 70% precision and 78% recall (production-quality). These production-scale results were among the factors that drove the partner's decision. The Series B proceeds will accelerate Articul8's go-to-market expansion across North America, Europe, Japan, and Latin America, and support continued development of domain-specific models for mission-critical industries. About Articul8 Articul8 AI is the enterprise domain-specific generative AI platform for mission-critical and regulated industries. Launched in January 2024, Articul8 helps organizations in energy, manufacturing, aerospace and defense, financial services, semiconductors, telecommunications, and other regulated enterprise environments unlock value from proprietary operational and engineering data. The company's platform combines Data Perception for multimodal data intelligence, AgentMesh for multi-AI agent reasoning and orchestration, and domain-specific GenAI models trained for industrial use cases. Articul8 connects directly to enterprise and operational systems, enabling organizations to deploy AI applications with production-grade accuracy, explainability, security, and compliance across public cloud, private cloud, sovereign cloud, and air-gapped environments. Articul8 is SOC 2 Type II certified and available through the Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and Databricks marketplaces. For more information, visit articul8.ai. Media Contact:

Data Center Knowledge
Jun 16th, 2026
Articul8 secures $500M valuation after landing major industrial AI deal

Articul8 AI has closed a Series B funding round at a $500 million pre-money valuation, backed by a strategic investment from an unnamed multinational industrial software company. The investor has selected Articul8's platform as its core generative AI engine for engineering, simulation and operational workloads. The deal is expected to generate eight-figure annual recurring revenue for Articul8, which spun out from Intel in 2024. The company's platform is designed for hybrid and on-premises deployment in regulated industries, focusing on asset lifecycle management and industrial operations. Articul8 competed against foundation model providers and enterprise AI vendors including Palantir. CEO Arun Subramaniyan said the company won on accuracy, scale, security and cost. Over 60% of evaluated use cases required on-premises or tightly controlled deployments, reflecting industrial sector requirements for auditability and compliance.

Lightscape
Jan 16th, 2026
Our Investment in Articul8

Its investment in Articul8. Lightscape Partners is excited to share that Articul8 has announced a Series B financing led by Adara Ventures, with participation from NXC Corporation, Aditya Birla Ventures, and other strategic investors. The round is expected to total approximately $70M and values the company at over $500M, representing a meaningful step up from its initial investment in early 2024. When Lightscape Partners first partnered with Articul8, Lightscape Partners believed there was a clear gap in the enterprise AI landscape. While general-purpose models were advancing rapidly, they fell short in real enterprise environments where data is fragmented, highly sensitive, and governed by strict regulatory and operational constraints. In these settings, domain-specific AI systems deployed directly within customer environments are far more effective than shared, horizontal solutions. What makes this problem especially difficult is not model quality alone, but everything surrounding production deployment. Enterprises need AI systems that integrate deeply with legacy infrastructure, respect complex data permissions, operate reliably at scale, and withstand scrutiny from compliance, security, and legal teams. Maintaining performance over time requires continuous monitoring, retraining, and governance, often across heterogeneous on-prem and hybrid environments. Very few teams have the technical depth, operational discipline, and enterprise credibility to solve this end to end. Lightscape Partners believed Arun and the Articul8 team were uniquely positioned to tackle this challenge. They built a platform that enables enterprises to safely deploy and operate powerful, customized AI within their own infrastructure, without compromising on security, control, or reliability. Since its investment, the team has continued to validate this thesis through execution, customer adoption, and now a strong vote of confidence from a global investor base. At Lightscape, Lightscape Partners remain committed to backing companies building at the frontier of AI infrastructure, robotics, deep tech, data, and applied systems that become core to enterprise operations. Lightscape Partners look for technical depth, thoughtful go to market execution, stickiness in real workflows, and the potential to compound over time through meaningful customer impact. Lightscape Partners is always keen to meet founders and operators building hardware or software systems that drive real change. Reach out if this resonates. About Lightscape Partners Lightscape Partners invests in early stage companies in and around the AI ecosystem including the application layer, infra layer, data, compute, energy, and robotics. Some of its portfolio companies include Etched, Fulcra Dynamics, Profitmind, Private AI, Vizit, Shield AI, and Standard Bots, among others. The goal at Lightscape is not just to provide commoditized capital but help its portfolio companies with as much involvement as the founders see fit (be it through strategic insights, cross-portfolio collaboration, generating new product and sales opportunities, making key introductions or helping professionalize businesses). Lightscape was founded by Jim Rowen and Sohail Khalid who bring extensive experience in C-suite, founder, and advisor roles with expertise in professionalizing, automating, and driving growth at both large and small businesses. Jim was most recently partner/board member/COO of Renaissance Technologies, while Sohail has experience founding and exiting multiple startups of his own. About Articul8 Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Its full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Its products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Its platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Its proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. Lightscape Partners is purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. Lightscape Partners is trusted by leading global enterprises such as Franklin Templeton, Intel, Itochu Techno-Solutions Corporation, AWS, Intel and Accenture transform their mission-critical work.