Jialu Zhu (朱嘉璐)’s Post

Hey students! Check out what opportunities Google has to offer and learn more about their individual teams. #CareerEmpowermentCenter #CSUEB #Google

Ever noticed your Mac's storage mysteriously disappearing? 🤔 Turns out, it's busy caching everything you do, munching on hundreds of gigs. And if you're using Docker locally, brace yourself ! After months of battling with my Mac's storage, seeing 150GB swallowed by System Storage, I had to turn to the internet - sorry ChatGPT, no help there! Eventually yesterday I dug deep into the file system, removing what made sense to me at some point but not anymore (the catch is not to remove something that does not make sense) - sounds like the right cache eviction policy in principle, right? 😅 Cache eviction isn't just a Mac thing; it's a common issue across tech stacks. In my engineering work, I'm cautious about relying too heavily on cache-driven solutions. Building cache is simple, but cache eviction and managing bugs is a different ball game. P.S. We're on the lookout for a stellar SDE-2 for backend and an SDE-Intern for frontend. Applications through the Google Form link in the comments below! 🚀

We live in strange times. A few months ago NVIDIA's CEO gave a speech announcing that he believes AI will negate the need for us to learn to code. Today they became the worlds most valuable company as a result of their domination of the AI hardware market. Whether Jensen proves to be right or not, the fact remains that today we absolutely DO need people to write the code that could make this prediction a reality. While we still can, we're hiring. ▶ Lead MLOps Engineer ▶ Head of Engineering #mlops #hiring #opensource

Rust Engineer will be very important. you want performant systems, that takes loads

Hi LinkedIn Network, I am looking for new roles in software engineering, data engineering or DevOps. Summary about me: 1. At Intel Corporation, I led NPU and GPU domain compatibility and optimization efforts for Windows OS, developing event tracing for drivers to collect performance metrics. Built a multi-threaded Crowd Source Application in Python, enabling automated driver distribution via Azure, improving error detection speed by 10% and reducing logistics costs for faulty systems. 2. Revamped financial data ingestion by building ETL pipelines to transform API data into Excel reports using Pandas, generating income statements and balance sheets on various timeframes. 3. Experience in finetuning large transformer model for downstream tasks. 4. Passionate about learning and sharing. Published research, mentored peers, and won competitions like ServiceNow Women Code to Win. Please send any leads to my way. I would be happy to chat with people working in various domains of SWE and ML (including GenAI) to see if I can be fit for a role. Feel free to reach out. #SoftwareEngineering #ML #GenAI

AI is the hottest new craze! Everyone wants to work in AI! Everyone is in "AI" Everyone's product is using AI -🤔 Tech jobseekers: if you want to work in AI, but are ignoring critical and crucial backend products that make AI happen you're missing out. What do I mean when I say critical and crucial backend products? I mean network development, storage, databases, cloud computing. Without these backend basis, AI cannot happen. Don't let buzzwords deter you from work that is equally important. Speaking of crucial teams, I have 6 SDE II roles! They're linked on my LinkedIn Page! I have two roles in SJC, four that need to be in Seattle, and two of these three can also be in Arlington VA! Go apply if you meet the basic qualifications. 𝑷𝒍𝒆𝒂𝒔𝒆 𝒏𝒐𝒕𝒆 𝒕𝒉𝒂𝒕 𝒊𝒇 𝒚𝒐𝒖 𝒂𝒓𝒆 𝒂 𝒄𝒖𝒓𝒓𝒆𝒏𝒕 𝒔𝒕𝒖𝒅𝒆𝒏𝒕 𝒐𝒓 𝒈𝒓𝒂𝒅𝒖𝒂𝒕𝒆𝒅 𝒘𝒊𝒕𝒉𝒊𝒏 𝒕𝒉𝒆 𝒍𝒂𝒔𝒕 12 𝒎𝒐𝒏𝒕𝒉𝒔 𝒘𝒆 𝒄𝒂𝒏𝒏𝒐𝒕 𝒄𝒐𝒏𝒔𝒊𝒅𝒆𝒓 𝒚𝒐𝒖 𝒇𝒐𝒓 𝒕𝒉𝒆𝒔𝒆 𝒓𝒐𝒍𝒆𝒔! Don't disappoint Kai! Until next time, Stay Caffeinated!

Enabling Conversational AI with Perplexity AI Perplexity AI is a cutting-edge language model that empowers conversational AI systems to engage in natural-sounding conversations. It's designed to: 1. _Understand context_: Perplexity AI grasps the nuances of language, ensuring responses are relevant and coherent. 2. _Generate human-like text_: The model creates responses that mimic human language patterns, making conversations feel more natural. 3. _Learn from interactions_: Perplexity AI adapts to user input, refining its responses over time. 4. _Support multiple languages_: The model can be fine-tuned for various languages, enabling global conversational AI applications. Perplexity AI has far-reaching potential in: 1. _Chatbots_: Enhancing customer service and user experiences. 2. _Virtual assistants_: Powering more sophisticated and conversational AI assistants. 3. _Language translation_: Facilitating more accurate and natural-sounding translations. 4. _Content generation_: Assisting with creative writing, content creation, and more. By harnessing the power of Perplexity AI, developers can create conversational AI systems that simulate human-like interactions, revolutionizing the way we engage with technology. Perplexity #trending #ai #future #jobs #datascience

AI Software Engineer... STOP The Panic! It is not what you think it is! Software Engineering is Way Beyond Running Some AI Agents and Loops! Cognition labs, the makers of Devin AI Are Hiring Software Engineers! #artificialintelligence #Devin #Cognitionlabs #softwareengineering

Day 69: Question: Permutation || Given a collection of numbers, nums, that might contain duplicates, return all possible unique permutations in any order.   Example 1: Input: nums = [1,1,2] Output: [[1,1,2],  [1,2,1],  [2,1,1]] Example 2: Input: nums = [1,2,3] Output: [[1,2,3],[1,3,2],[2,1,3],[2,3,1],[3,1,2],[3,2,1]] Answer Approach: For solving this question, (Using backtracking) Firstly sorting the input array to ensure that duplicate elements are adjacent, then implementing a backtracking algorithm to recursively generate all permutations while skipping duplicate elements by checking if the current element is the same as the previous one and if the previous element has not been used before, and finally storing each complete permutation in a result list and returning the list once all permutations have been generated. For codes and complete questions, click on the given link: https://lnkd.in/g4PAUiTR #Leetcode #problemsolving #100days100problem #Hiring #hiring #google #facebook #Amazon #Coding #microsoft

Does Google Conduct Standard DSA Rounds for AI/ML and Data Positions? A Google recruiter recently contacted me about an SDE III (L4) role in AI/ML. I was really excited and felt grateful for this opportunity.😎 " During a 40-minute call with the recruiter, I was surprised to hear that the interview process includes 4 rounds of DSA, each lasting 45 minutes. I had always thought data roles didn’t focus much on DSA, but this isn’t true at this level! " 💔Knowing how tough Google's questions can be, I felt a bit discouraged by the process. However, I still encourage✨ anyone preparing for data roles to focus on your core skills and practice LeetCode medium-level DSA problems. Gunashekar Chenna for you.❤️ #google #interview #dataengineer #softwareengineer #sde3 #dsa #linkedin