> Markdown version of [/jobs/ext/288800-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/288800-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** CLERA, LLC - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Abaqus, Artificial Intelligence, Comsol Multiphysics, SolidWorks (CAD), Electronic Design Automation, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Systems Integration, Computer Aided Engineering (CAE), Pytorch, Information Technology, Machine Learning Operations, Ansys - **Published:** May 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3688c58fb4b76a25 ## About the Role Do you have experience in System deployment?, * 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains. * 2+ years of technical leadership guiding AI/ML projects from research to production. * Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs). * Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment. * Strong understanding of engineering principles in simulation, modeling, and optimization. * Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. Nice to Have: * Experience with CAE, CAD, and/or PLM tools (e.g., Ansys, Abaqus, COMSOL, SolidWorks, NX). * Experience in a fast-paced startup environment. ## Description Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer - designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve. You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact., * Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering. * Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure. * Lead performance improvements - from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks. * Guide AI/ML projects from research through to production deployment. * Contribute to MLOps practices and help build robust, end-to-end AI/ML systems. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Cloud Vendor Lock-In - Is it just a new version of the Database Abstraction Layers?](https://www.wearedevelopers.com/videos/1185-cloud-vendor-lock-in-is-it-just-a-new-version-of-the-database-abstraction-layers) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Colorful quantum randomness](https://www.wearedevelopers.com/videos/100257-colorful-quantum-randomness) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)