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Machine Learning Researcher
RemoteFull-timeArtificial Intelligence ResearchEnterprise Software
Join an AI research team developing machine learning models for enterprise decision-making. Work across the research lifecycle, from exploring new methods to evaluating and deploying models.
Responsibilities
- Contribute to ideation, design, implementation, and evaluation of machine learning models for real-world deployment
- Improve model performance through new architectures and training methods
- Establish evaluation protocols
- Develop methods for efficient training and inference
- Build and maintain research code that supports rapid experimentation and testing
Requirements
- Strong familiarity with the full machine learning research cycle
- Strong software engineering fundamentals
- Strong Python skills and familiarity with machine learning frameworks
- Experience with the full lifecycle of AI model development
- Experience with machine learning infrastructure and tools
- Experience developing machine learning methods, algorithms, and models
- Experience with GPUs or TPUs and distributed training
- Experience scaling models and training regimes
- Knowledge of classical machine learning methods and deep learning
- Expertise in at least one area: tabular models, time-series models, relational foundation models, structured data, or large-scale foundation models
Nice to have
- Published research at AI conferences
- Contributions to open-source machine learning projects
- Experience with tabular data or predictive analytics
- A high Kaggle ranking
- A bachelor's, master's, or doctoral degree in computer science or machine learning
Benefits
- Competitive salary and equity
- Health coverage for employees and dependents
- Paid parental leave, including for adoptive and surrogate journeys
- Relocation support for moves to an office location
- Mission-driven culture that values diverse perspectives and ownership