What are the responsibilities and job description for the Sr ML Research Data Scientist position at WalkWater Technologies?
REQ ID – 35651691
ROLE – Sr ML Research Data Scientist
LOCATION – Seattle - Hybrid
MAIN SKILLS – Solid understanding of machine learning concepts, particularly related to LLMs, NLP, and model evaluation, Strong programming skills in Python, Experience with data engineering, including working with large datasets or heterogenous datasets with mixed provenance, Experience designing and executing experiments, including human-centered evaluations and automated benchmarking, Experience in observational or experimental research with human subjects, Familiarity with SQL for data manipulation and analysis, Hands-on, technical experience solving data science or ML problems with LLMs, preferably in an applied industry context, Experience with responsible AI, including fairness, transparency, and safety in AI systems, Background in human-centered data science, HCI, or social science fields relevant to understanding human-AI interactions or measuring human-centered phenomena.
Key Responsibilities
• Design, implement, support, and evaluate experiments for LLM feature safety, including both human and automated evaluations.
• Develop scalable pipelines and tools to process and analyze heterogenous datasets.
• Collaborate with cross-functional teams to operationalize research findings
• Write high-quality, maintainable code, and contribute to shared codebases
• Create and maintain documentation for research processes and evaluation frameworks.
• Communicate findings effectively through presentations and reports, translating technical results into actionable insights for diverse audiences.
Key Qualifications
• Strong programming skills in Python, with experience in writing production-level code and implementing best practices (e.g., unit testing, version control).
• Experience with data engineering, including working with large datasets or heterogenous datasets with mixed provenance.
• Solid understanding of machine learning concepts, particularly related to LLMs, NLP, and model evaluation.
• Experience designing and executing experiments, including human-centered evaluations and automated benchmarking.
• Experience in observational or experimental research with human subjects.
• Familiarity with SQL for data manipulation and analysis.
Strongly Preferred
• Hands-on, technical experience solving data science or ML problems with LLMs, preferably in an applied industry context
• Experience with responsible AI, including fairness, transparency, and safety in AI systems.
• Background in human-centered data science, HCI, or social science fields relevant to understanding human-AI interactions or measuring human-centered phenomena.
Education
Master’s or PhD in Computer Science, Machine Learning, Data Science, Statistics, Cognitive Science, Psychology, Human-Computer Interaction, or a related field.
