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Key job responsibilities
- Research and implement the state-of-the-art computer vision, acoustic modeling, signal processing and other machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Research new machine learning approaches to drive continued scientific innovation.
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
- Experience in prototyping, designing, implementing and deploying large-scale computer vision, acoustic modeling, audio processing applications and tools
- Experience in developing highly-optimized computer vision, audio processing and machine learning algorithms on resource-constrained platforms
- Ability to juggle multiple priorities and dealing with ambiguities
- Exceptional writing and verbal communications skills
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