> Markdown version of [/jobs/ext/165739-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/165739-machine-learning-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). --- # Machine Learning Engineer - **Company:** Adobe Inc. - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $125,600.0 - $234,150.0 - **Contract:** Permanent contract - **Skills:** Adobe Acrobat, Artificial Intelligence, Python (Programming Language), Machine Learning, Tensorflow, Large Language Models, Adobe, Information Technology, Machine Learning Operations - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1953e3e1adef9d40 ## About the Role B.S. or higher in Computer Science, Engineering, Mathematics or a related field, or equivalent experience 4+ years of hands-on experience building and deploying ML models in production Demonstrated expertise in training, finetuning, optimizing LLMs / large-scale models Proficiency in Python and deep knowledge of leading ML frameworks and libraries Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment ## Description Research, train, and deploy SOTA ML models for enterprise use-cases Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems Explore and iterate on emerging LLM techniques to advance the frontier of Context Engineering Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Intelligent Automation using Machine Learning](https://www.wearedevelopers.com/videos/157-intelligent-automation-using-machine-learning) - [NoCode LiveCode: Leveraging AI Tools to Craft Fully Functional Apps!](https://www.wearedevelopers.com/videos/1169-nocode-livecode-leveraging-ai-tools-to-craft-fully-functional-apps) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)