AI/ML Engineer (Dublin, CA)

Articul8•Dublin, CA

12d

About The Position

At Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact. As a fast-moving startup , we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers’ success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career. Role Overview We are seeking an AI/ML Engineer to design, develop, and deploy AI-driven solutions that solve real-world problems at scale and deliver direct impact for our customers. You will work with machine learning models, algorithms, large language models (LLMs), and AI applications while optimizing performance for production environments. This role requires expertise in AI/ML modeling, including knowledge of various model types, layer architectures, and training strategies. You should have experience with cloud platforms and be comfortable following software engineering best practices. You will work directly with customers to understand their requirements while collaborating closely with our Customer Success team. You will also engage cross-functionally with Product, Engineering, and Applied Research teams to develop and deploy the best AI solutions.

Requirements

Bachelor's, Master's, or PhD in Computer Science, AI, Machine Learning, or related field.
5+ years of experience in AI/ML development and deployment.
Strong programming skills in Python and deep learning frameworks like PyTorch
Ability to contribute effectively to production-level codebases
Experience with deep learning, NLP, computer vision, and/or reinforcement learning
Proficiency in data preprocessing, feature engineering, and model evaluation techniques
Experience with AWS, GCP, or Azure for AI model deployment
Knowledge of containerization technologies such as Docker and Kubernetes
Strong problem-solving and analytical skills
Familiarity with MLOps tools like MLflow, Kubeflow, or TensorBoard and CI/CD pipelines
Excellent communication and teamwork skills

Nice To Haves

Experience with multi-cloud AI deployments .
Knowledge of generative AI and autonomous AI agents .
Experience with ML modeling for multi-dimensional, large time-series datasets.
Proficiency in distributed computing frameworks (Spark, Ray, Dask).
Experience in edge AI or AI model compression (quantization, pruning).
Previous work experience with AI SaaS platforms .

Responsibilities

Design, develop, and deploy AI and machine learning models for production environments.
Train, fine-tune, and optimize deep learning models and interface with LLM-based solutions.
Engage with customers to understand their needs and transform them into actionable tasks to develop functionality within our products.
Build algorithms and ML models to analyze diverse structured and unstructured data, including pattern recognition, anomaly detection, forecasting, and computer vision.
Collaborate with software engineers and the product team to integrate AI capabilities into our applications.
Develop APIs and microservices 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.

Benefits

Joining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward.
It’s an “all in” culture — not about long hours, but about shared commitment, ownership, and impact.
A culture of curiosity and innovation , where your ideas shape enterprise AI adoption.
Opportunities for continuous learning and growth , including mentoring, knowledge sharing, and thought leadership.
The chance to work with leading global enterprises on cutting-edge Generative AI projects.
A collaborative team that values diversity, inclusion, and creativity , supporting both personal and professional development.
Equity and ownership opportunities in a category-defining company.
The opportunity to directly influence reference architectures, product roadmap, and the future of enterprise AI adoption.

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