Advanced Multimodal AI Researcher
6 days ago
This is an exciting opportunity to work with Amazon, a global leader in innovation and diversity. As an Advanced Multimodal AI Researcher, you will be part of the Alexa International Tech team, working on cutting-edge technology that leverages Large Language Models (LLMs) and multimodal systems.
Key Responsibilities:
- Analyze customer behavior and experiences using large-scale data, with a focus on international customer-centric challenges.
- Develop novel online and offline evaluation metrics and methodologies for personal digital assistants and customer scenarios on multi-modal devices.
- Innovate and deliver deep learning-based solutions across the product lifecycle, including policy-based learning and international customer-specific model performance tuning.
- Experiment and set up experimentation frameworks for agile model and data analysis or A/B testing.
BASIC QUALIFICATIONS:
- 3+ years of experience building machine learning models for business applications.
- PhD, or Master's degree with 6+ years of applied research experience.
- Proficiency in programming languages such as Java, C++, Python, or related languages.
- Experience with neural deep learning methods and machine learning.
PREFERRED QUALIFICATIONS:
- Experience with modeling tools like R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Experience with large-scale distributed systems like Hadoop, Spark, etc.
The ideal candidate should have a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They should thrive in fast-paced environments, tackling complex challenges and delivering impactful solutions while iterating based on user feedback.
Estimated Salary: $120,000 - $180,000 per year
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