Granite Media is seeking machine learning leaders to help us build a brighter future for professional media.
Headquartered in San Francisco, we are a profitable early-stage media company. We aim to make quality storytelling and journalism sustainable through use of modern technologies, data science, and business innovation. We have a talented 10 person team and each member has a proven track record of success in their field. The founding team has more than a decade of experience in the industry and a previous successful exit.
This job is either in San Francisco or remote (US only) and offers a package with both competitive salary and equity.
HOW YOU’LL MAKE AN IMPACT
You will drive data modeling and data research for us in an industry where the problem set is ripe and data is underutilized. We live for data and cannot overstate how important this function is to our business.
WHAT YOU’LL DO
Model price estimates and market dynamics.
Utilize bandit learning to optimize content and user experience.
Detect anomalous user behavior to weed out sub-par advertising.
Surface and visualize KPIs.
Proven track record of exceptional communication skills
Computer Science degree, Statistics degree, or equivalent
4-8 years experience working either in data science or software engineering
Professional Python experience
Professional experience with TensorFlow, PyTorch, or similar generation machine learning frameworks
Experience deploying and monitoring models
Experience in any of the following fields or technologies:
Technical lecturing or blog entry writing
Project or team management
Intrigued? Reach out to learn more (email@example.com).
Note: Granite Media does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event that a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Granite Media. Granite Media is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.