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Jay Feng
Getting people data science jobs @ Interview Query
Jay Feng is a data science enthusiast and startup lover known for his work at Interview Query, a data science learning and interview preparation tool.
He is the co-founder at Interview Query and actively contributes to the field of data science through his platform.
In addition to his work at Interview Query, Jay runs a YouTube channel where he shares insights and information related to data science.
Jay Feng can be contacted through his various online profiles; however, due to the high volume of messages, he may not be able to respond to all.
He advises against spamming his LinkedIn inbox and encourages meaningful interactions.
Highlights
Apple is currently hiring Machine Learning Engineers to join their teams in multiple locations in the US. As an ML Engineer at Apple, you will contribute to enhancing Apple’s product experiences by developing and improving advanced machine learning systems and innovative NLP solutions.
Don't miss out on these awesome roles! 🔥
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐒𝐮𝐧𝐧𝐲𝐯𝐚𝐥𝐞, 𝐂𝐚𝐥𝐢𝐟𝐨𝐫𝐧𝐢𝐚, 𝐔𝐧𝐢𝐭𝐞𝐝 𝐒𝐭𝐚𝐭𝐞𝐬) Responsibilities: • Design, develop, and optimize machine learning models for computer vision and graphics applications, focusing on enhancing features for VisionOS and iOS platforms. • Manage the entire machine learning lifecycle, including data collection, processing, model design, experimentation, and validation to ensure robust performance in real-world applications. • Work closely with other machine learning engineers, data engineers, and software engineers, both within the team and across different functions, to integrate and deploy solutions effectively.
Apply here: https://lnkd.in/gMFVVs9B
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐂𝐮𝐩𝐞𝐫𝐭𝐢𝐧𝐨, 𝐂𝐚𝐥𝐢𝐟𝐨𝐫𝐧𝐢𝐚, 𝐔𝐧𝐢𝐭𝐞𝐝 𝐒𝐭𝐚𝐭𝐞𝐬) Responsibilities: • Create and maintain Retrieval-Augmented Generation systems to enhance AI-based features and support instructional design and editorial teams. • Assess the accuracy and relevance of content generated by Large Language Models (LLMs) and contribute to the continuous improvement of machine learning algorithms. • Work with content and engineering teams to develop innovative Natural Language Processing (NLP) solutions, leveraging cutting-edge machine learning technologies.
Apply here: https://lnkd.in/gAtEGAHY
If you get accepted as an ML Engineer at Apple, you will enjoy benefits such as competitive base pay, potential stock options, comprehensive medical and dental coverage, retirement benefits, discounted products and services, educational reimbursement, and the opportunity to work on cutting-edge machine learning technologies.
Learn how to prepare for your Apple ML Engineer Interview: https://lnkd.in/gdCJaYQ4
#Apple #MLJobs #MachineLearning #MLEngineer #Hiring
Reddit, Inc. is hiring Data Scientists to work remotely from anywhere in the U.S. As a Data Scientist at Reddit, you’ll harness the power of data to enhance the platform’s user experience, drive business growth, and optimize engagement.
Check out these great opportunities 👇
𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 (𝐑𝐞𝐦𝐨𝐭𝐞, 𝐔𝐒𝐀) Responsibilities: • Collaborate with cross-functional teams (Product, Engineering, Design, etc.) to enhance systems driving user and revenue growth. • Lead and contribute to defining product strategy through metrics design, experimentation, and deep data analysis. • Manage all phases of product development, including ideation, analysis, experimentation, and post-launch monitoring. • Ensure data quality and work on ETLs, reporting dashboards, and ML model development while guiding product strategy and roadmap.
Apply here: https://lnkd.in/dH3GDqZJ
𝐒𝐭𝐚𝐟𝐟 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭, 𝐒𝐜𝐚𝐥𝐞𝐝 𝐄𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 (𝐑𝐞𝐦𝐨𝐭𝐞, 𝐔𝐒𝐀) Responsibilities: • Lead efforts in detecting and enforcing policies against spam and other forms of abuse across the platform. • Partner with safety, community, and legal teams to enhance enforcement strategies. • Provide data-driven guidance to develop real-time systems that mitigate harmful content. • Mentor team members and stay updated on emerging abuse detection trends to improve systems.
Apply here: https://lnkd.in/ddJcvi5W
Reddit, Inc. offers comprehensive benefits, including health coverage, 401k matching, home office support, and funds for personal and professional development. Employees enjoy flexible vacation time, paid parental leave, and volunteer time off, along with equity opportunities and a commitment to diversity and inclusion.
Ready to apply as a Data Scientist at Reddit? Check out this comprehensive guide: https://lnkd.in/deBzfd_x
#Reddit #DataScientistJobs #DataScience #Hiring
