Claire Dorman Email & Phone Number
@pandora.com
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Who is Claire Dorman? Overview
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Claire Dorman is listed as Machine Learning Engineering Manager at Netflix, a company with 17330 employees, based in Oakland, California, United States. AeroLeads shows a work email signal at pandora.com and a matched LinkedIn profile for Claire Dorman.
Claire Dorman previously worked as Senior Machine Learning Engineering Manager at Tubi and Data Science and Engineering Manager at Lyft. Claire Dorman holds Bachelor Of Arts (B.A.), Physics from University Of California, Berkeley.
Email format at Netflix
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AeroLeads found 1 current-domain work email signal for Claire Dorman. Compare company email patterns before reaching out.
About Claire Dorman
I am a machine learning tech lead and people manager with 15+ years of experience in statistical modeling, recommender systems, production machine learning, and applied research in complex organizations.
Listed skills include Data Analysis, Science, Research, Latex, and 15 others.
Claire Dorman's current company
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Claire Dorman work experience
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Senior Machine Learning Engineering Manager
CurrentLead 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.
Data Science And Engineering Manager
Manage a team of 15 machine learning scientists and software engineers in Lyft Marketplace
Data Science (Ml) Manager
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.
Ballet Teacher
Staff Ml Scientist
- 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..
Senior Scientist
Data Scientist
Graduate Student Researcher
- 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.
Astronomy Department Head Teaching Assistant
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.
Astronomy Instructor
Designed and taught a quantitative astronomy course for university undergraduates in non-science majors.
Research Methods Instructor
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.
Math Instructor
Taught SAT math, 9th grade geometry, and 10th grade algebra II full-time.
Undergraduate Researcher
- 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.
Undergraduate Student Instructor
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.
Teaching Assistant
Colleagues at Netflix
Other employees you can reach at netflix.com. View company contacts for 17330 employees →
Enemy Missing
Colleague at Netflix
Gambir, Jakarta, Indonesia, Indonesia
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CS
Claire Silva
Colleague at Netflix
Santarém, Pará, Brazil, Brazil
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JB
John Bob
Colleague at Netflix
Los Angeles Metropolitan Area, United States
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KJ
Kevin Jolly
Colleague at Netflix
Los Angeles, California, United States, United States
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TR
Tiana Rios
Colleague at Netflix
Los Angeles, California, United States, United States
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AK
Abdullah Kazi
Colleague at Netflix
Islāmābād, Pakistan, Pakistan
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AM
Amarjeet Mishra Lalu
Colleague at Netflix
Buxar, Bihar, India, India
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AH
Aidan Harris
Colleague at Netflix
Brakpan, Gauteng, South Africa, South Africa
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BA
Belen Alcantara
Colleague at Netflix
Mexico City, Mexico, Mexico
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SL
Sad Love
Colleague at Netflix
Delhi, India, India
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Claire Dorman education
Bachelor Of Arts (B.A.), Physics
Doctor Of Philosophy (Ph.D.), Astronomy And Astrophysics
Associate Of Science (A.S.), Physics
Frequently asked questions about Claire Dorman
Quick answers generated from the profile data available on this page.
What company does Claire Dorman work for?
Claire Dorman works for Netflix.
What is Claire Dorman's role at Netflix?
Claire Dorman is listed as Machine Learning Engineering Manager at Netflix.
What is Claire Dorman's email address?
AeroLeads has found 1 work email signal at @pandora.com for Claire Dorman at Netflix.
Where is Claire Dorman based?
Claire Dorman is based in Oakland, California, United States while working with Netflix.
What companies has Claire Dorman worked for?
Claire Dorman has worked for Netflix, Tubi, Lyft, Ballet Petit, and Pandora.
Who are Claire Dorman's colleagues at Netflix?
Claire Dorman's colleagues at Netflix include Enemy Missing, Claire Silva, John Bob, Kevin Jolly, and Tiana Rios.
How can I contact Claire Dorman?
You can use AeroLeads to view verified contact signals for Claire Dorman at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Claire Dorman attend?
Claire Dorman holds Bachelor Of Arts (B.A.), Physics from University Of California, Berkeley.
What skills is Claire Dorman known for?
Claire Dorman is listed with skills including Data Analysis, Science, Research, Latex, Physics, Astronomy, Python, and Teaching.
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