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Machine learning scientist at Gauss Labs

Location: Stanford, California, us

Job Summary:

Job Duties:
- Develop advanced Machine Learning algorithms in time-series and areas like anomaly detection and hybrid ML.
- Collaborate with other scientists to innovate algorithms and prototypes.
- Partner with software engineers for algorithm scaling and productization.
- Work with PMs on use cases, data collection, and benchmarking.
- Independently lead projects in a dynamic environment.
- Contribute to patents and publish research in external venues.

Required Skills:
- Strong knowledge of state-of-the-art ML algorithms.
- Proficiency in programming with Python or modern languages.
- Ability to collaborate with software engineering teams.

Required Experience:
- MS or Ph.D. in relevant fields.
- 3+ years of exceptional ML research experience with top publication records.

Job URLs: