Staff/Senior AI/ML Engineer - (Dublin, CA)
Design, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer-based architectures. Train, fine-tune, and optimize deep learning and LLM-based solutions. Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the Articul8 platform. Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into applications. Implement and evaluate state-of-the-art automated testing and metrics to improve model accuracy and efficiency. Optimize models for both cloud and on-premises environments to ensure low latency and high availability. Develop APIs and micro-services to serve AI models in production. Stay current with the latest AI models, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance.
Staff/Senior Software Engineer (Backend) - (Dublin, CA)
Design and build robust RESTful and GraphQL APIs using Python, Go, or Rust. Architect scalable systems for real-time AI/ML-powered applications. Partner with ML engineers and frontend developers to ship intelligent, user-facing features. Ensure performance, security, and reliability across hybrid (cloud/on-prem) environments. Lead technical architecture and long-term backend strategy. Drive best practices for code quality, observability, and API design. Mentor engineers and help grow a high-performance, AI-augmented engineering culture. Take ownership of customer deployments and support production excellence.
Industries Solutions Architect - Manufacturing & Industrial
Design and deploy scalable architectures for manufacturing use cases including industrial operations such as SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics. Lead technical workshops, prototype solutions, and oversee platform deployment and optimization. Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap. Advise customers on Articul8 product adoption strategies focusing on differentiating capability, security, cost, and operational efficiency. Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence. Develop reusable solution templates and document best practices. Partner with sales and business development to drive cloud adoption and align solutions with industry trends. Continuously monitor and improve deployed solutions for performance and scalability. Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally. Stay current with emerging manufacturing and cloud technologies to inform strategy and support other industry verticals when required.
AI/ML Manager - Engineering Leader
Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, technical excellence, and continuous learning. Collaborate cross-functionally with Customer Success, Product Management, Engineering, and Business Development to scope, prioritize, and align AI/ML initiatives with core business objectives. Define and enforce best practices for the full ML lifecycle, including experimentation, code reviews, reproducibility, deployment pipelines, monitoring, and MLOps. Own the technical roadmap for AI/ML capabilities, ensuring alignment with long-term product strategy while rapidly adapting to research findings and market shifts. Drive translation of applied research into production-ready solutions, balancing cutting-edge innovation with pragmatic delivery at startup speed. Establish team processes for prioritization, planning, and technical guidance to optimize execution speed while ensuring reliability, scalability, and quality. Promote a data-driven culture by defining success metrics and KPIs, ensuring technical outputs are measurable, impactful, and tied to business outcomes. Contribute hands-on to technical architecture, model design, and code reviews where appropriate, while balancing technical leadership and management responsibilities. Advocate for responsible and ethical AI practices, ensuring compliance with organizational policies and industry standards.
First-Line Supervisors of Food Preparation and Serving Workers - AI Trainer (Contract)
The responsibilities include evaluating what AI models produce related to the field of food preparation and serving work, assessing content related to the field of work, delivering clear and structured feedback to improve the AI model's understanding of workplace tasks and language, developing prompts for AI models that reflect the field, and evaluating AI responses. The work is performed remotely and asynchronously with flexible hours, and involves leveraging professional experience in food preparation and serving supervision to train AI models.
Member of Technical Staff - ML Research Engineer; Multi-Modal - Audio
Invent and prototype new model architectures that optimize inference speed, including on edge devices; build and maintain evaluation suites for multimodal performance across a range of public and internal tasks; collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets; work with the infrastructure team to optimize model training across large-scale GPU clusters; contribute to publications, internal research documents, and thought leadership within the team and the broader ML community; collaborate with the applied research and business teams on client-specific use cases.
Software Engineer, Evaluation Frontend
As an Evaluation Frontend Software Engineer, you will design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations, including both data visualization tools and statistical tools to extract signal from noisy data. You will develop an understanding of the relative merits and limitations of each model evaluation and suggest new facets of model evaluation. Your work will involve collaborating closely with cross-functional teams, including researchers and engineers, to surface necessary insights for model development.
Freelance Cybersecurity Analyst - AI Trainer
Analyze and investigate simulated security alerts and incidents across endpoints, identities, and cloud environments. Conduct proactive threat hunting using KQL or similar query languages to identify hidden vulnerabilities and emerging threats that automated systems may miss. Assess the accuracy and depth of AI-generated security incident reports and threat analyses. Review, validate, and improve the model’s understanding of Microsoft Defender products and SOC workflows. Provide expert feedback on AI performance in identifying and classifying cybersecurity threats.
Finance Platform Engineer
Use proprietary software applications to provide input and labels on defined projects. Support and ensure the delivery of high-quality curated data. Contribute to the training of new tasks by working closely with the technical staff to develop and implement cutting-edge initiatives and technologies. Interact with technical staff to improve the design of efficient annotation tools. Choose problems from economics fields that align with expertise, focusing on macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services including labeling and annotating data in text, voice, and video formats to support AI model training, sometimes involving recording audio or video sessions.
Data Engineer – Spark Specialist
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make customers successful. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
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