> Markdown version of [/jobs/ext/1389741-research-intern-phd-machine-learning](https://www.wearedevelopers.com/jobs/ext/1389741-research-intern-phd-machine-learning). 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). --- # Research Intern (PhD), Machine Learning - **Company:** Output Biosciences - **Location:** New York, NY, United States (Remote available) - **Experience:** Internship - **Salary:** $42,000.0 - $138,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Computational Biology, Python (Programming Language), Machine Learning, Open Source Technology, Pytorch, Generative AI, Information Technology, Hardware Infrastructure - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9a3fa1cc944f8727 ## About the Role * You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field * You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences * You have hands-on experience designing and running ML experiments, including training models and analyzing results * You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure * You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly Bonus Points * You have experience applying machine learning to biological, chemical, or molecular data * You have a background in computational biology, biophysics, chemistry, or a related natural science * You have experience with generative models, representation learning, or self-supervised learning * You have contributed to open-source machine learning or computational biology projects ## Description Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD. The Role You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [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)