google > google Employee Directory > Matineh Shaker
matinehshaker
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Matineh Shaker
Staff Machine Learning Engineer
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Location: San Francisco, California, United StatesApprox. Years of Experience: 10
Matineh Shaker's Current Workplace
Google
Company Size
2500+
Amount Raised
$26.1M
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.\n\nCheck out our career opportunities at goo.gle/3DLEokh
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Notable Investors
Sequoia Capital, Jeff Bezos, Kleiner Perkins, Andy Bechtolsheim, Ram Shriram
Google
UX Design
Product Management
Software Engineering
Experience
Staff Machine Learning Engineer
Google · Full-time
Jun 2025 - Present
2 mos
Sr. Principal Machine Learning Engineer
Palo Alto Networks · Full-time
Apr 2023 - Jun 2025
2 yrs 3 mos
RAG/LLM in production systems, Retrieval and custom Ranking models, reward/preference modeling, automated LLM evaluations, instruction tuning, SFT, RLHF.
Machine Learning Engineer
Twitter · Full-time
Oct 2021 - Jan 2023
1 yr 4 mos
Built semantic retrieval for Twitter Home feed candidate generation. Light ranker for ranking Home feed tweets.
Senior Applied Scientist
Microsoft · Full-time
Jan 2017 - 2021
4 yrs 1 mo
Microsoft’s Autonomous Systems stack on Azure. Deep Reinforcement Learning.
Machine Learning Engineer
Geometric Intelligence
2016 - 2016
Less than a year
Stealth-mode. Acquired by UBER)
Doctoral Fellow
Harvard Medical School · Full-time
2015 - 2016
1 yr
(HARVARD Neuro-Imaging Research Lab) Led the first machine learning solution for anomaly detection from brain images of patients with traumatic brain injuries. I invented a novel ML model (Lasso + Gaussian Graphical Models) that improved anomaly detection by 20% while reducing the computation by 10 times. The approach was adopted in the lab and initiated multiple future projects. Skills: R · Python · Statistical Modeling · Graphical Models
Machine Learning Researcher
Northeastern University · Full-time
Jul 2012 - Dec 2015
3 yrs 6 mos
Working on the Ph.D. dissertation. I was very passionate about visualizing high-dimensional data to extract manifolds representing the semantics of data. For instance, if we have images of faces with only 2 variabilities (spectrum of young-old and sad-happy), how can we extract two 2D curves that show the youngest on one side, the oldest on the other side, with gradual changes in between? Same for sad-happy. It was theoretical work and I was able to achieve that by kernel density estimation (KDE) of data distribution, gradient, and Hessian of distribution, and estimating Principal Curves based on those. [See Hastie & Tibshirani's paper on Principal Curves, 1989]
Computer Vision Algorithm Lead
Eigen
2011 - 2012
1 yr
Led the development of a critical sensor fusion algorithm deployed to a biopsy device to combine information from ultrasound and MRI images. Skills: C++ · OpenCV · Information Theory
Research Assistant
UNIVERSITY OF IOWA HOSPITALS &CLINCS · Full-time
Aug 2008 - Apr 2011
2 yrs 9 mos
Led multiple computer vision projects at UofI Hospital to develop software for the detection of lung diseases, used at the hospital. Skills: C++ · ITK · OpenCV · Image Segmentation · Image Registration · SQL
Computer Vision Algorithm Engineer
RCISP · Full-time
2007 - 2008
1 yr
Staff Machine Learning Engineer
Google · Full-time
Jun 2025 - Present
2 mos
Sr. Principal Machine Learning Engineer
Palo Alto Networks · Full-time
Apr 2023 - Jun 2025
2 yrs 3 mos
RAG/LLM in production systems, Retrieval and custom Ranking models, reward/preference modeling, automated LLM evaluations, instruction tuning, SFT, RLHF.
Machine Learning Engineer
Twitter · Full-time
Oct 2021 - Jan 2023
1 yr 4 mos
Built semantic retrieval for Twitter Home feed candidate generation. Light ranker for ranking Home feed tweets.
Senior Applied Scientist
Microsoft · Full-time
Jan 2017 - 2021
4 yrs 1 mo
Microsoft’s Autonomous Systems stack on Azure. Deep Reinforcement Learning.
Machine Learning Engineer
Geometric Intelligence
2016 - 2016
Less than a year
Stealth-mode. Acquired by UBER)
Education
  • 2012 - 2015
    Northeastern UniversityDoctor of Philosophy (PhD), Electrical and Computer Engineering
  • 2015
    Harvard UniversityPredoctoral fellow
  • 2012 - 2015
    Northeastern UniversityDoctor of Philosophy (PhD), Electrical and Computer Engineering
  • 2015
    Harvard UniversityPredoctoral fellow
  • Dates unavailable
    University of TehranElectrical and Computer Engineering Dept.