Overview As a Senior Applied Scientist, you will shape the definition, vision, and end-to-end development of neuro-symbolic AI features that guide learning and reasoning. You work on scalable, efficient approaches and deliver rigorous scientific artifacts in a fast-moving, agile environment. You collaborate with academia and cross-functional teams to drive impactful research across science and engineering domains. This is an opportunity to contribute to frontier AI technology and help translate research into product features with real-world impact.
Compensation / Benefits- health insurance (medical, dental, vision)
- RSUs and sign-on
- 401(k) matching
- paid time off
- parabolic leave
- EAP and mental health support
Responsibilities- Define and implement new neuro-symbolic applications with scalable approaches
- Operate in an agile, startup-like development environment to prioritize impact
- Deliver high-quality scientific artifacts and documentation
- Shape the definition, vision, and development of product features from concept to delivery
Key requirements- 3+ years of building machine learning models for business applications
- PhD, or Master's degree with 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- agile mindset
- strong collaboration and communication
- ability to work with academia and cross-functional teams
- modeling tools such as R
- scikit-learn
- Spark MLLib
