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Amazon • Mountain View, CA

RemoteNo ExperienceHealth InsurancePaid Time OffRetirement Benefit

DoorDash

Mountain View, CA

18+ years old
Any car, scooter, or bicycle (in select cities)
Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia
Consistent access to a smartphone
Driver's license number
21+ to deliver alcohol
Social security number (only in the US)

GlobalLogic

San Jose, CA 95123

Kotlin / Java – for developing applets and Android system services.
Android Framework internals (System Services, AIDL, Binder IPC)
Android HAL / JNI / NDK for native integration
CarService and Car API layers in Android Automotive
Familiar with AAOS (Android Automotive OS) system architecture.
Python – optional, for tooling or testing.
Implement inter‑module communication (via AIDL, event bus, or IPC).
Ensure smooth interaction with system services and cloud components (where relevant).
Integrate applets with HMI layers or Android Automotive UI templates.
Experience extending or customizing AOSP (Android Open Source Project).
Strong understanding of:
Build “physical” or in‑vehicle applications using the applets framework: Examples: climate control, seat settings, vehicle status, camera views, etc.
C++ – for native components (through JNI), hardware interfacing, or embedded optimization.

Experis

Sunnyvale, CA 94089

Educational background in computer science, IT, or related fields, or equivalent professional experience.
Knowledge of the Android Platform, including build tools and flashing procedures.
Experience with Android internals and scripting, as well as iOS scripting using Apple Configurator.
Proficiency in Bash scripting or similar command line tools.

Home Instead

Saratoga, CA 95070

Apple, Inc.

Cupertino, CA 95014

3+ years of experience contributing to machine learning models in production environments.
Hands‑on experience improving large training datasets consisting of both structured and unstructured data.
MS or PhD in Computer Science, Machine Learning, Statistics, or related field.
Strong programming skills and proficiency with numeric/statistical libraries like pandas, numpy, scipy, etc.
Experience reading research papers and the ability to comprehend and build on key ideas.
Strong background in statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization.
Strong problem‑solving and communication skills and the ability to communicate your ideas through effective data visualizations.