> Markdown version of [/jobs/ext/1901420-ml-researcher](https://www.wearedevelopers.com/jobs/ext/1901420-ml-researcher). 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). --- # ML Researcher - **Company:** TILDE RESEARCH INC. - **Location:** Palo Alto, CA, United States - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Data Files, Open Source Technology, Deep Learning - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ml-researcher-internship-and-full-time-palo-alto-ca--fe45b5d1-9d32-487e-a7ce-50d811329697 ## About the Role * Have experience in deep learning or related research areas * Have deep technical expertise in some subfield(s) of modern ML, e.g. architecture, optimizers, RL, learning dynamics, etc.. This can include through: + Strong publication record + Thoughtful technical blog posts * Have experience working with large-scale pre/post-training infrastructure for experimentation * Communicate clearly and effectively, both verbally and in writing * Can come up with and evaluate research ideas * Are able to learn quickly Skills: Artificial Intelligence (AI), Blog, Communication Skills, Data Sets, Develop Methodologies, Open Source, Performance Management, Prototyping, Research Skills ## Description As a ML Researcher, you will develop innovative techniques to deeply understand how large AI models work-and use those insights to make them better. You'll work on training, analyzing, and evaluating cutting-edge models, collaborating closely with a team of researchers and engineers to advance interpretability as a tool for improving performance and control. What you might work on: * Designing, prototyping, and optimizing novel model architectures * Investigating why models or specific components behave the way they do-and how to improve them * Curating targeted datasets to elicit and instill specific behaviors or capabilities in models * Collaborating on papers, blog posts, and open-source tools to share insights with the broader community ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Embracing the Hybrid Cloud: Unlocking Success with Open Source Technologies](https://www.wearedevelopers.com/videos/883-embracing-the-hybrid-cloud-unlocking-success-with-open-source-technologies) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [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 to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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)