David Racz

David Racz Email and Phone Number

Research Manager @ Google DeepMind
Palo Alto, CA, US
About David Racz

Researching and developing the next generation of AI systems.

David Racz's Current Company Details
Google DeepMind

Google Deepmind

View
Research Manager
Palo Alto, CA, US
Website:
deepmind.google
Employees:
6578
David Racz Work Experience Details
  • Google Deepmind
    Research Manager
    Google Deepmind
    Palo Alto, Ca, Us
  • Google Deepmind
    Senior Staff Software Engineer, Tech Lead, Manager
    Google Deepmind May 2024 - Present
    London, London, Gb
  • Google
    Senior Staff Software Engineer @ Google Research
    Google Jan 2020 - May 2024
    Mountain View, Ca, Us
    Multimodal representation learning, augmented cognition, ambient sensing, and ethical AI
  • Google
    Tech Lead / Engineering Manager @ Cloud Ai
    Google Oct 2016 - Jan 2020
    Mountain View, Ca, Us
    Technical lead / manager of applied machine learning teams focused on a variety of ranking, recommendation, classification and prediction problems.
  • Skype
    Principal Applied Scientist
    Skype May 2014 - Oct 2016
    Redmond, Wa, Us
    Leader of the Applied Machine Learning team in Skype Business where we developed systems for:- Anomaly detection, fraud detection- Behavioral modeling, collaboration prediction- People search relevance, ranking, recommendation, and measurement- Face, gesture, and object recognition
  • Microsoft
    Principal Scientist
    Microsoft Sep 2012 - Apr 2014
    Redmond, Washington, Us
    Led relevance, measurement, and architecture for Microsoft Maps where I developed:- Machine learned models for map search relevance and ranking- Metrics and measurement pipelines for map search relevance and data quality- Location-aware auto-suggestions for Microsoft Maps and Bing Maps- ML models for map inference and anomaly detection from sensor data, GPS, LiDAR, and imagery
  • Nokia Research Center
    Principal Scientist, Research Team Lead
    Nokia Research Center Aug 2006 - Sep 2012
    Espoo, Southern Finland, Fi
    I founded and led the Personalized Relevance Team which focused on innovating and productizing a variety of technologies related to personalization, relevance, ranking, context awareness, activity recognition, self quantification, behavioral modeling and prediction, and geospatial search. I led the design and development of Nokia Simple Context, a platform used dozens of universities and researchers to collect millions of hours of contextual and behavioral data from hundreds of mobile phones, and I developed new search technologies and data processing infrastructure for Navteq and Nokia Maps.
  • Nokia Research Center, Software Innovation Group
    Senior Research Engineer, Lead
    Nokia Research Center, Software Innovation Group 2004 - 2006
    Espoo, Southern Finland, Fi
    I was a founding member of the Software Innovation Group where I developed:- The first generation mobile App store for Symbian OS- XML-sec (encryption) and XML-dsig (digital signatures) implementation for Symbian OS- OpenSSL port to Symbian S60- Automated porting tools for migrating POSIX applications to Symbian OS
  • Nokia Research Center, Software Innovation Group
    Senior Research Engineer
    Nokia Research Center, Software Innovation Group 2000 - 2004
    Espoo, Southern Finland, Fi
    Research and development including:- Intelligent personal assistants, meeting scheduling, constraint satisfaction- Tools for information extraction, indexing, query, and reasoning- WML parser and XML pull-parser for S40 phones- Symbian S60 full web browser, proxy browser, and Python for S60- J2ME APIs and implementation for Bluetooth, UPnP, and RDP
  • Department Of Defense, Naval Research Lab
    Research Engineer
    Department Of Defense, Naval Research Lab Jan 1998 - Aug 1998
    Developed a novel biological and chemical weapons detection system made from biosensor substrates, liquid crystal pixel arrays, and microfluidics. This system allows individuals in the field to quickly determine the presence of a wide array of pathogens and antigens in the air, and allows for detection of new pathogens to be quickly integrated into the system.

David Racz Skills

Distributed Systems Machine Learning Artificial Intelligence Mobile Applications Scalability Python Algorithms Software Engineering System Architecture High Performance Computing Mobile Devices Software Development Big Data Information Retrieval Computer Vision Software Design Pattern Recognition Computer Science Data Mining Architecture Gis Sensors Analytics Open Source Signal Processing C++ Local Search Behavioral Modeling Spatial Databases Computing Semantic Web Image Processing C Sensor Systems Activity Recognition Mobile Software Anticipatory Computing Object Oriented Design Natural Language Processing Rest Deep Brain Stimulation Embedded Software Mobile Internet Algorithm Design Data Visualization Embedded Systems Human Computer Interaction Digital Signal Processors Mapreduce Optimization

David Racz Education Details

  • Uc San Diego
    Uc San Diego
    Communications And Information Technology
  • Boston University
    Boston University
    Computer Systems Engineering
  • Boston University
    Boston University
    Biomedical Engineering

Frequently Asked Questions about David Racz

What company does David Racz work for?

David Racz works for Google Deepmind

What is David Racz's role at the current company?

David Racz's current role is Research Manager.

What is David Racz's email address?

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What is David Racz's direct phone number?

David Racz's direct phone number is +165038*****

What schools did David Racz attend?

David Racz attended Uc San Diego, Boston University, Boston University.

What are some of David Racz's interests?

David Racz has interest in Children, Kids, Cooking, Electronics, Outdoors, Home Improvement, Donor, Crafts, Shooting, Sports.

What skills is David Racz known for?

David Racz has skills like Distributed Systems, Machine Learning, Artificial Intelligence, Mobile Applications, Scalability, Python, Algorithms, Software Engineering, System Architecture, High Performance Computing, Mobile Devices, Software Development.

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