Job Description
Machine Learning Research Scientist Location: Hybrid - SOLU,Seattle, WA) Compensation: $190-230k base comp, + start up equity Our Seattle based client, a fastgrowing earlystage team, is seeking a Machine Learning Research Scientist to drive highimpact research at the core of a nextgeneration AI inference platform. If you're passionate about advancing efficiency, generative models, and realworld ML systems, this role offers rare depth and ownership. If you're excited to push the boundaries of efficient AI and shape the future of inference, we'd love to connect. What You'll Do Lead applied research initiatives in generative AI and model efficiency Prototype and implement novel ML techniques for largescale inference Design experiments, analyze results, and translate findings into productionready solutions Collaborate with ML, systems, and software engineers to bring research to life What You Bring PhD in CS, CE, or related field 3+ years leading ML research with publications in top conferences/journals Experience with LLMs, VLMs, or generative model architectures Strong Python or C++ skills and deep experience with PyTorch, TensorFlow, or JAX Ability to work across research and engineering in a fastmoving environment Bonus Skills Research in model efficiency, compression, or optimization Experience with profiling, performance analysis, or cloudscale ML systems Familiarity with Docker, Kubernetes, or cloud platforms Why This Role Foundational impact on a nextgen AI platform Highly collaborative, interdisciplinary team Competitive compensation + meaningful earlystage equity Comprehensive benefits, FTO, parental leave, wellness +