# Research Scientist > Raydar · New York, United States (Hybrid) · Full-time · Posted 2026-10-12 **Salary:** USD 250,000–350,000 **Workplace:** hybrid ## Description About the company Our client is a fast-growing technology company. The role Raydar is recruiting for this role on behalf of our client. Lead applied research on how machine learning models are measured and improved, with a focus on the quality of the data behind them. You will join early as a founding member of a small research function and set direction with a high degree of independence, partnering closely with subject-matter specialists. What you'll do \- Create and maintain benchmarks, test suites and dataset classification schemes that establish quality standards. \- Run independent investigations and publish findings to build the company's visibility in the research community. \- Pinpoint weaknesses in current language models and assemble datasets that address them. \- Collaborate with domain specialists and delivery colleagues to describe what excellent training and testing data looks like in different fields. \- Shape the research roadmap, proposing ideas, designing experiments and rallying colleagues around them. ## Requirements What we're looking for \- About 5 or more years of research experience across academic and industry settings. \- A PhD in machine learning, computer science, statistics or a quantitative discipline from a leading program. \- A strong publication record at top machine learning conferences, in a lead or near-lead author role. \- Direct, full-cycle ownership of post-training work for large language models. \- Deep knowledge of model assessment, benchmark creation and data quality as they feed into model training. \- Prior research work in a corporate AI environment, such as a model developer or AI tooling provider. \- A research specialty in language model training or post-training, rather than speech, audio, vision or robotics. \- Skill in designing experiments, examining data and delivering quantitative analysis from start to finish. \- Curiosity about how models behave and the ability to suggest data-driven remedies for their shortcomings. \- Willingness to work on-site 5 days per week, with some flexibility to 4. Bonus points \- A master's degree combined with an outstanding body of published work may be considered in place of a PhD. \- Comfort with Python and PyTorch for working alongside engineers on evaluation tooling. ## Benefits Compensation and benefits \- Base salary: USD 250,000 to 350,000 per year \- Equity Location and work model \- New York, NY or San Francisco, CA, United States \- Hybrid: 5 days in-office, flexible to 4 days \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/1E70A6DF26/apply) --- Powered by [Workable](https://www.workable.com)