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Apple Senior Software Engineer Enterprise Technology Services United States, California, Sunnyvale 241082713
07.04.2025
We at Emerging Technology Solutions Team, are passionate about building bleeding edge solutions operating at Internet Scale. In this role, you will help build global scale security solutions in the space of Anti Phishing/ Spam, Social Engineering Attack Prevention and more. You will work with a passionate team intent on making the Internet safe for everyone and will build full stack solutions that handle outstandingly large volumes of critical data harnessing the power of NoSQL, Machine Learning, Big Data and other Emerging Technologies. If you're excited by the challenge of building the next generation of security solutions and want to make a significant impact in the tech world, we want to hear from you.
We are looking for strong programmers with expertise in building some of the largest and highly scaled applications in the world. This is a core engineering role that requires you to be hands-on in coding, building and tuning highly scalable, distributed services that handle large volumes of data. You will join a hands-on development team that fosters creativity and generates novel solutions to deliver engineering perfection. You will work with partners, project managers and cross-discipline teams.
- Bachelor’s Degree in Computer Science/Computer Engineering or equivalent.
- 7+ years of technical experience designing, building, and maintaining data pipelines and platforms.
- Solid understanding of Machine Learning, Deep Learning (including LLMs) and Natural Language Processing.
- Hands-on experience working (training, fine-tuning, optimizing, deploying) with ML models.
- Good understanding of various distributed system concepts.
- Knowledge in Relational and NoSQL Databases, Object Oriented Analysis and Design, and Microservices.
- Experience developing AI/ML systems at scale in production or in high-impact research environments.
- Experience with LLM training/fine-tuning.
- Experience with vector stores, ranking and retrieval techniques is a plus.
- Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency.
- Dedicated and self-motivated.
- Innovative, thinks out of the box, and have a strong drive for excellence.
- Good interpersonal skills. Have good oral/written communication skills.
- M.S or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent experience.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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