Claire Dorman Email & Phone Number

Oakland, Ca, Us

San Francisco, Ca, Us

Lead the search and content understanding machine learning engineering teams for a streaming service with 200K+ titles and 80M+ active users.- Drive technical vision and roadmap for search across modeling, infra, product, data science, and data eng - Lead R&D for content understanding models spanning traditional embedding methods, LLMs, and computer vision. Lead integration into applications across the company including homepage topic generation, recommendation, advertising, metadata management, and internal tooling. - Created and currently lead the Tubi Women in Tech employee resource group

San Francisco, Ca, Us

Manage a team of 15 machine learning scientists and software engineers in Lyft Marketplace

San Francisco, Ca, Us

The Market Signals team develops, serves, and drives integration of online models into the Marketplace lever systems (dispatch, pricing, driver pay, and product recommendations). Our products include long term effects causal models for RL pricing, real time supply and demand forecasting, machine learning based cost prediction, and reinforcement learning-driven driver value scores. - People manager and technical lead for a team of 7 applied scientists in machine learning and optimization. Net Promoter Score = 100 as rated by all direct reports. - Partner with product to drive planning, execution, and stakeholder management for the cross-functional team across product, engineering, and science- Co-founder and lead of Women in Science group at Lyft

San Francisco, Ca, Us

Tech Lead for Market Signals team

Oakland, Ca, Us

- Machine learning tech lead for the radio algorithms group, comprising about 15 ML scientists, engineers, analysts, and product managers. Prioritized, executed, and communicated dozens of concurrent projects, consistently increasing listener hours for 80M users.- ML tech lead for the company’s first algorithmically generated on-demand playlists. - Proposed, designed, implemented, and A/B tested 6 novel recommendation algorithms, influencing more than 50% of songs played and increasing representation of long-tail artists. Adapted techniques such as matrix factorization, generative deep learning, and reinforcement learning, for terabyte-scale datasets. - Hired, created projects for, and mentored PhD research interns. - Represented Pandora Science in several dozen internal and external invited talks, and in monthly custom music technology workshops I developed for students of all ages. - Co-organized Pandora Women in Tech Summit, a conference with hundreds of attendees, twice- Dev stack: Hadoop/Hive, Spark, scientific Python (e.g., Scipy, scikit-learn, Pandas), Tensorflow, GCP AI Platform, Java, Scala

Oakland, Ca, Us

Oakland, Ca, Us

Santa Cruz, Ca, Us

• Wrote successful proposals for competitive grant funding and telescope time.• Developed data reduction and analysis software currently used by a team of scientists.• Automated visual classification tasks for use on a catalog of over a million objects.• Developed and implemented Bayesian optimization strategies to infer the structure and dynamics of multi-component stellar populations. • Presented work in refereed journals and in posters and talks to technical and nontechnical audiences.• Supervised four high school interns and five undergraduates on related research projects.

Santa Cruz, Ca, Us

Design and lead the department's first support program for teaching assistants. Run teacher training workshops, maintain resource libraries and website, meet with current teaching assistants, substitute teach discussion sections, and act as liaison between department and teaching assistants.

Santa Cruz, Ca, Us

Designed and taught a quantitative astronomy course for university undergraduates in non-science majors.

Palo Alto, Ca, Us

Developed and taught an extracurricular course in astronomical research methods to high school students. Students were introduced to astronomical topics, computational data analysis, and technical reading and speaking.

Irvine, Ca, Us

Taught SAT math, 9th grade geometry, and 10th grade algebra II full-time.

Los Angeles, Ca, Us

• Developed image processing software to distinguish real objects from instrumental artifacts.• Discovered an instrumental bias and developed an empirical way to minimize its effect on the data.• Presented work to the astronomical community in written, poster, and oral presentations.

Berkeley, Ca, Us

Prepared and delivered 4 hours of discussion section per week for a physics course aimed at biology/pre-med students.Coordinated with other instructors to collectively grade hundreds of midterm and final examinations.Held office hours and responded to student queries.Wrote letters of recommendation when asked.

Fremont, Ca, Us

Bachelor Of Arts (B.A.), Physics

Doctor Of Philosophy (Ph.D.), Astronomy And Astrophysics

Associate Of Science (A.S.), Physics