> Markdown version of [/jobs/ext/4618277-machine-learning-research-engineer](https://www.wearedevelopers.com/jobs/ext/4618277-machine-learning-research-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 Research Engineer - **Company:** Coders Connect - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Salary:** $200,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Python (Programming Language), Machine Learning, Open Source Technology, Pytorch, Large Language Models - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_9145c427edfabf5d731ae072c66a8a13 ## About the Role * 2-6+ years in post-training, ML research, or ML engineering * Strong experience with Python, PyTorch, LLMs, and multimodal models * Proven ability to run fast, iterative experiments from data to evaluation * Curiosity for subjective AI-creativity, tone, and aesthetics * Low-ego, collaborative mindset; thrives in a small, in-person environment Bonus * Experience working with post-training data or data vendors (Scale, Labelbox, Snorkel, etc.) * Personal interest in creative fields (design, art, writing, or similar) ## Description As a Machine Learning Research Engineer, you'll own end-to-end research cycles-designing, running, and analyzing post-training experiments that help models evaluate style and subjective quality. You'll collaborate directly with AI labs and creative experts, and have the opportunity to publish your work., * Train reward models, classifiers, and verifiers across creative domains (writing, design, visual style) * Develop benchmarks and evaluation methods for subjective tasks * Run post-training (RLHF/DPO) experiments on open-source and proprietary models * Collaborate with AI labs and creative experts on pilots and research projects * Publish findings through blogs and whitepapers