Staff Machine Learning Research Scientist
| Company | Toyota Research Institute |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $216000 – $330000 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of experience with PhD in computer science, machine learning, computational social science, or related field, with a broad knowledge of machine learning approaches and theory.
- Experience with simulation / prefactual / counterfactual approaches (multi-agent-based modeling, GNNs, Robust Decision Modeling + AI, etc.).
- Experience with architecting ML systems across diverse data sources (text, time-series data, tabular data, etc.), including familiarity with cloud platforms (AWS, GPC, or Azure), virtualization (Docker), and orchestration (Kubeflow, Metaflow).
- Proficiency in ML frameworks (e.g. scikit-learn, PyTorch, TensorFlow, Keras), and tools for big data analysis (e.g. Databricks, Sagemaker, SQL, Spark).
- Ability to communicate complex concepts clearly across different audiences.
- Strong interpersonal skills, enthusiastic collaborator, and great teammate.
- Heavy interest in research to facilitate social wellbeing.
Responsibilities
- Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that models emergent properties in social systems.
- Stay current on the state-of-the-art in Machine Learning theories, practice, and software.
- Collaborate with scientists in the Harmonious Communities Department to shape and craft our research program and to communicate research to Toyota collaborators and stakeholders.
- Publish findings in academic journals and/or conferences (e.g., KDD, ICWSM, WWW, ACL, EMNLP, NAACL, AAMAS, CSCW).
- Contribute to technology transfer of research throughout Toyota.
Preferred Qualifications
- Experience with time series modeling and data analysis.
- Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years.
- Familiarity with human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies.