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Senior Machine Learning Engineer, Search Solutions
3 months ago
We are seeking an exceptional Applied Scientist to join our Amazon Search team. As a key member of our team, you will be responsible for developing and deploying innovative search solutions that drive business growth and customer satisfaction.
Key Responsibilities- Technical Leadership: Act as the technical leader in Machine Learning, Information Retrieval, and drive full life-cycle Machine Learning projects.
- Collaboration and Teamwork: Lead technical efforts within this team and collaborate with other science teams to advance search technology.
- Model Development and Deployment: Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Experimentation and Analysis: Run A/B experiments, gather data, and perform statistical tests to inform business decisions.
- Process Optimization: Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation, and serving.
- Team Collaboration: Work closely with junior scientists, software engineers, and product managers to assist in productizing your ML models.
- Research and Innovation: Establish new research initiatives to shape our long-term science vision and act as a mentor to other Scientists on the team.
- Education and Experience: 3+ years of building machine learning models for business application experience, PhD, or Master's degree, and 6+ years of applied research experience.
- Technical Skills: Experience programming in Java, C++, Python, or related languages, and experience with neural deep learning methods and machine learning.
- Modeling Tools: Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
- Distributed Systems: Experience with large-scale distributed systems such as Hadoop, Spark, etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
