Sara Smoot

Sara Smoot Email and Phone Number

Software Engineering Manager @ Google DeepMind
Palo Alto, CA, US
Sara Smoot's Location
Palo Alto, California, United States, United States
About Sara Smoot

I am interested in using large data sets to better inform and improve quality of life. Machine learning is one of many tools to utilize data I enjoy using and hope to learn others. I am excited to solve hard problems in the internet space, but still enjoy aerospace and energy applications.

Sara Smoot's Current Company Details
Google DeepMind

Google Deepmind

View
Software Engineering Manager
Palo Alto, CA, US
Website:
deepmind.google
Employees:
6578
Company phone:
916.253.7820
Sara Smoot Work Experience Details
  • Google Deepmind
    Software Engineering Manager
    Google Deepmind
    Palo Alto, Ca, Us
  • Google
    Software Engineering Manager
    Google Nov 2024 - Present
    Mountain View, Ca, Us
    Building an engineering team for the release and success of Google's open source LLM family Gemma.
  • Google
    Engineering Manager
    Google Jan 2023 - Nov 2024
    Mountain View, Ca, Us
    Leading a team in the XLA group developing efficient compilers for Machine Learning applications.
  • Lyft
    Senior Manager, Machine Learning
    Lyft Feb 2022 - Jan 2023
    San Francisco, Ca, Us
  • Lyft
    Software Engineering Manager, Machine Learning
    Lyft Nov 2020 - Mar 2022
    San Francisco, Ca, Us
    Leading the horizontal applied machine learning team for Lyft Rideshare, dedicated to increasing access the latest machine learning techniques through research and application.
  • Linkedin
    Software Engineering Manager
    Linkedin Nov 2017 - Nov 2020
    Sunnyvale, Ca, Us
    I manage a team working on personalizing sponsored content and advertisement on LinkedIn. We improve ranking algorithms and click prediction models fundamental to the ads bidding platform and marketplace.
  • Linkedin
    Senior Data Scientist And Engineer
    Linkedin May 2013 - Nov 2017
    Sunnyvale, Ca, Us
    I work on building and implementing machine learning algorithms to personalize the LinkedIn experience for the consumer and enterprise products. I mine large data sets for feature engineering and experiment on different variations of logistic regression and other learning algorithms to build large scale recommendation systems.Previously, on the product team at LinkedIn, I used big data to drive product development decisions. I supported the content team, helping to design experiments to measure changes in engagement, working with product relevance teams and doing deep analysis to identify areas of growth.
  • Imvu
    Data Scientist
    Imvu Apr 2012 - May 2013
    Redwood City, Ca, Us
    Data mining, design and analysis for an internet based social media company. This includes running and automating queries from sql and hadoop databases, developing automated reporting systems and using this analysis to make intelligent business decisions. I work closely with product development teams to ensure valuable, measurable metrics are implemented in our products. I am also responsible for ensuring the quality of A/B experiments done to make incremental improvements.Basic skills developed include: SQL, hive, python
  • Makani Power
    Research Associate
    Makani Power Jun 2008 - Mar 2009
    Alameda, California, Us
    Analyzed airborne wind energy prototype's dynamic stability. Contributed to high fidelity models and developed control architecture and algorithms implemented on VTOL test flights.After my formal work experience with this company I continued to collaborate with the team on my doctoral research, which included developing theory for stability models and conceptual design techniques.
  • Gravity Probe B
    Research Assistant
    Gravity Probe B Jan 2005 - Dec 2007
    Wrote matlab code to estimate model parameters from science data and to estimate spacecraft pointing. Improved high fidelity control simulation for drag free spacecraft, added rate gyro models and replicated actual flight spacecraft control data to high accuracy.

Sara Smoot Skills

Pets Time Management Dog Grooming Teamwork Powerpoint Sales Microsoft Office Customer Service Microsoft Word Microsoft Excel Data Entry Research Leadership Communication Python Matlab Machine Learning Simulations Statistics Algorithms Aerodynamics Hadoop Data Mining Latex Sql A/b Testing Big Data Simulink Fortran Hive Apache Pig Data Analysis Analysis

Sara Smoot Education Details

  • Stanford University
    Stanford University
    Aeronautical And Astronautical Engineering
  • Stanford University
    Stanford University
    Aeronautics And Astronautics
  • Brigham Young University
    Brigham Young University
    Mathematics

Frequently Asked Questions about Sara Smoot

What company does Sara Smoot work for?

Sara Smoot works for Google Deepmind

What is Sara Smoot's role at the current company?

Sara Smoot's current role is Software Engineering Manager.

What is Sara Smoot's email address?

Sara Smoot's email address is ss****@****din.com

What is Sara Smoot's direct phone number?

Sara Smoot's direct phone number is +1 650-687*****

What schools did Sara Smoot attend?

Sara Smoot attended Stanford University, Stanford University, Brigham Young University.

What are some of Sara Smoot's interests?

Sara Smoot has interest in Children, Civil Rights And Social Action, Environment, Education, Science And Technology, Disaster And Humanitarian Relief, Animal Welfare, Arts And Culture, Health.

What skills is Sara Smoot known for?

Sara Smoot has skills like Pets, Time Management, Dog Grooming, Teamwork, Powerpoint, Sales, Microsoft Office, Customer Service, Microsoft Word, Microsoft Excel, Data Entry, Research.

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