Senior Mobile Augmented Reality/ML Engineer
| Company | Corelogic |
|---|---|
| Location | Austin, TX, USA, Irvine, CA, USA, Batesville, MS, USA, Dallas, TX, USA, Remote in USA, Milwaukee, WI, USA, Oklahoma City, OK, USA, San Diego, CA, USA |
| Salary | $110500 – $144000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- A Bachelor’s degree in Computer Science, with advanced coursework or specialization in Machine Learning and Computer Vision
- 2+ years of Software development experience: At least two years of experience developing mobile applications or video games with ML integration
- Strong knowledge of machine learning frameworks such as PyTorch, CoreML, or TensorFlow
- Experience in full mobile development cycle
- Proven ability to develop and train machine learning models for: Gesture recognition, Spatial mapping, Predictive user interaction modeling, Dynamic scene understanding
- Experience in Unity3D, OpenXR, WebGPU, three.js, Swift’s reality kit / ARKit on both Android and iOS platforms – A Must
- Proficiency in machine learning model deployment and optimization for mobile AR applications
- Experience profiling and optimizing render pipeline performance (GPU and CPU)
- Advanced knowledge of machine learning techniques for performance optimization
- Experience working with source control systems such as Git in a multi-developer team environment
- Experience in full mobile game development cycle with ML components
- Wide understanding of XR technology areas (graphics, tools, libraries, ML frameworks)
- Being creative when working with visual and intelligent systems
- Adept understanding of linear algebra, matrix representations, and neural network architectures
Responsibilities
- Developing and integrating advanced AR applications that leverage machine learning techniques for enhanced user interactions, object recognition, and dynamic content generation on both Android and iOS platforms
- Taking a team leadership role in developing and refining an analytics development platform
- Mentoring and training junior colleagues
Preferred Qualifications
- Ability to implement adaptive AR experiences that learn and improve through machine learning
- Strong skills in developing ML models that enhance user interaction and AR content generation
- Creative problem-solving skills in integrating AI and AR technologies