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Jerry (Jiarui) Xu
Hiring Sr. ML Engineer @ Affirm
Professional Background
Jerry (Jiarui) Xu is a prominent figure in the field of Machine Learning (ML) who has made significant contributions through his work at Affirm. With over six years of experience in ML engineering and a robust educational foundation, Jerry has held various critical roles across diverse organizations. Currently, he is searching for a talented Senior ML Engineer to join his team, emphasizing a commitment to developing machine learning solutions for honest financial products. His deep expertise positions him uniquely within the financial technology landscape.
Throughout his career at Affirm, Jerry has advanced from a Data Scientist to a Senior Machine Learning Engineer, and further to the position of ML Engineering Manager. His multifaceted experience at Affirm has provided him a comprehensive view of machine learning's application in the fintech sector, where he has applied his skills to optimize underwriting processes, enhance risk assessments, and implement innovative data-driven strategies. Jerry’s leadership in team dynamics and project execution demonstrates his ability to mentor upcoming talents and guide strategic initiatives.
Having engaged in various volunteer roles, including an Executive Board member of the Illini Club of the Bay Area and part of the Builder Community Board at CMU Tech & Entrepreneurship, Jerry showcases a dedication to fostering community and networking within his professional sphere. His contributions extend beyond the workplace, as he actively promotes innovation and technology education.
Education and Achievements
Jerry began his academic journey at the University of Illinois Urbana-Champaign, where he earned a Bachelor’s degree in Mathematics and Computer Science, with concentrations in Statistics and Economics. This strong foundational knowledge has been instrumental in shaping his analytical skills and mathematical rigor, essential for tackling complex ML challenges.
He further enhanced his expertise with a Master’s Degree in Language Technologies (Machine Learning/Natural Language Processing) from Carnegie Mellon University, a leading institution known for its cutting-edge research in both ML and AI. Additionally, his summer exchange experience at The Hong Kong University of Science and Technology provided him with international exposure and insights into global technology trends, particularly in ML and Internet computing.
Jerry’s academic pursuits are matched by a remarkable professional trajectory, demonstrating a blend of hands-on experience and theoretical knowledge. He gained initial experience through internships at prestigious companies, including Amazon and PwC, where he contributed to data analysis and application development, setting the stage for a successful career in machine learning.
Achievements
Jerry’s professional journey is marked by significant achievements. His tenure at Affirm has involved critical roles, such as Interim Manager and Staff Machine Learning Engineer, where he has led the design and deployment of innovative ML models that significantly impact business operations. As an Applied Machine Learning Scientist II at Affirm, he pioneered advanced analytics that drive company growth and improve underwriting processes, building a reputation for delivering robust and scalable machine learning solutions.
Throughout his career, Jerry has not only excelled in technical capabilities but also showcased his leadership and organizational skills. His volunteer work at the Illini Club of the Bay Area and CMU Tech & Entrepreneurship underscores his commitment to community engagement and mentorship, enhancing the broader tech community's landscape. Jerry actively participates in the recruitment and development of talent, ensuring that the next generation of engineers is adequately prepared to meet future challenges in technology and finance.
Conclusion
With an ambitious focus on creating impactful ML solutions in the financial realm, Jerry (Jiarui) Xu stands out as a leader and innovator in the machine learning field. His deep understanding of both the technical and managerial aspects of ML positions him as a valuable asset in any organization looking to leverage data-driven decision-making. Owing to his extensive experience and keen insights, Jerry is not just an advocate for technology but also an active participant in cultivating talent and driving innovation within the industry.
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Clay works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
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Clay offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Clay is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Clay's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Clay has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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