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Irina Belousova
ML Engineering Manager and Technical leader at Apple
Irina Belousova is an Engineering Manager and Technical Leader at Apple, where she has been employed since April 2021. Her career at Apple began as a Machine Learning Engineer in April 2017, showcasing her expertise in machine learning and software engineering. Prior to her tenure at Apple, she held several significant roles, including Senior Software Engineer at LinkedIn and Software Development Engineer at Microsoft, among others.14
Professional Background
- Current Position:
- Engineering Manager and Technical Leader at Apple (April 2021 - Present)
- Previous Roles:
- Machine Learning Engineer at Apple (April 2017 - April 2021)
- Senior Software Engineer at LinkedIn (May 2015 - April 2017)
- Software Development Engineer at Microsoft (October 2012 - May 2015)
- Application Developer at Intel Corporation (2010 - February 2012)
- Software Designer at Mera Networks (2009 - 2010)
Education and Certifications
Irina has pursued various educational opportunities to enhance her skills, including:
- edX Verified Certificate for Scalable Machine Learning
- Duarte Academy: Presentations That Resonate
- Game Theory from Stanford University and The University of British Columbia
- Multiple certifications in Data Analysis and Statistical Inference from Coursera.1
Contributions to Research
Belousova has also contributed to research in machine learning, particularly in areas related to natural language processing. Notably, she co-authored papers on topics such as "Speculative Streaming" for fast inference in large language models and "Intelligent Assistant Language Understanding" focusing on on-device capabilities.23
Her work reflects a strong commitment to advancing technology within the field of artificial intelligence and machine learning, particularly as it relates to user interaction and efficiency in applications.
Skills and Languages
Irina is proficient in English and possesses extensive technical skills that have been honed through her varied roles in engineering across leading technology companies.1
Highlights
Proud to be part of the LLM Optimization team that has empowered Apple Intelligence to run seamlessly on both devices and servers. Check out our technical report on Foundation Language Models, highlighting the optimizations we've applied::
My team LLM Optimization is on the hunt for an experienced Full Stack ML Engineer to help us push the boundaries of what's possible. Be at the forefront of designing and implementing ML-based solutions that enhance runtime latency, training time, memory usage, time to first token, and decoding speed for all Apple applications. Work alongside some of the brightest minds in the industry on groundbreaking projects! 🚀
