Research Scientist/Research Engineer Deep Learning
Summary
Research Scientist/Engineer applies deep learning to complex problems, designs models, and implements research projects from concept to production.
You apply deep learning to achieve state-of-the-art capabilities in complex domains. You implement open-ended research projects from concept through production, continuously improve model design, tools, and infrastructure, and combine machine learning expertise, engineering, statistics, and market intuition in quantitative research projects.
Responsibilities
- Apply deep learning to complex research problems
- Implement research projects from concept to production
- Improve model design
- Improve research tools and infrastructure
- Develop quantitative research and monetization projects
Requirements
- 5+ years of experience developing deep learning systems with measurable industry or academic impact
- Python or C++
- Mathematics and statistics
- PhD or master's degree in computer science, mathematics, or related subject
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- English written and verbal communication
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer-paid group term life and AD&D insurance
- Voluntary life and AD&D insurance
- Paid vacation and paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness programs