- Develop and improve privacy-preserving machine learning Ads ranking models to maximize data utility, improve model performance, increase Ads revenue while respecting user’s privacyand keeping compliant to privacy-related regulations and policies.
- Develop, design, create, modify, and/or test software applications or systems for Ads ranking system.
- Develop a strongunderstanding of Ads-related product area, codebase, and/or systems.
- Demonstrate proficiency in data analysis, programming, and software engineering.
- Produce high-quality code withgood test coverage using modern abstractions and frameworks.
- Work on problems of privacy-preserving machine learning for Ads Ranking, where analysis of situations or data requires areview of a variety of factors including privacy compliance.
- Exercise judgment within defined procedures and practices to determine appropriate action.
- Master internal developmentstandards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
- Requires a Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, or a related field.
- Requires completion of a university-level course, research project, internship, or thesis in the following:
- 1. Machine learning, with at least one paper published in NLP area
- 2. Privacy-enhanced technology for ranking systems
- 3. Familiar with ONNX Runtime and proficient in deploying models
- 4. Proficient in at least one of the following programming languages: C++, Python, Hack
- 5. Experienced in Perl programming language and its various libraries and framework
- 6. Built large-scale infrastructure applications with Apache Spark, Flink, Hadoop, Storm, Kafka Streams for efficient data processing and stream integration
- 7. Created web applications using technologies such as React, Vue, Angular, and Node.js
- 8. Understands relational databases and has experience with MongoDB, Redis, SQL, and InfluxDB
- 9. Experience with WebAssembly (Wasm) and integrating it with JavaScript/Typescript, including creating and utilizing interfaces for efficient web application performance
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