> Markdown version of [/jobs/ext/2110363-applied-ml-scientist](https://www.wearedevelopers.com/jobs/ext/2110363-applied-ml-scientist). 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). --- # Applied ML Scientist - **Company:** Greenhouse Software, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $190,000.0 - **Contract:** Permanent contract - **Skills:** Algorithmic Trading, Big Data, C++ (Programming Language), Computer Programming, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning - **Published:** August 19, 2026 - **Apply:** https://job-boards.greenhouse.io/pdtpartners/jobs/1473516 ## About the Role * Solid mathematical and analytical ability; exceptional problem-solving and modeling ability * Research intuition * Experience in programming (Python, R, Matlab, C++) * Excellent communication and collaborative white board skills * Meticulous and detail-oriented, and innately driven to understand issues deeply * Experience with/interested in working with large data sets * Self-motivated and highly-productive, with a strong sense of ownership and urgency * Able to work collaboratively and productively with others * Enjoy solving complex, difficult, real-world problems * Entrepreneurial and creative * Finance knowledge is not required or expected * PhD preferred * Undergraduate or Masters degree with equivalent industry experience in machine learning + 2+ years of applied machine learning research experience * Strong publication record * Experience with the Python scientific stack ## Description * Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time * Contribute to the long-term success of our research-driven algorithmic trading business ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) ## Related Articles - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [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 We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)