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Liked on XI made a mistake. When Jack and I decided to organize this $100K Hackathon, my biggest concern was cheating. Unlike a regular hackathon, everyone participates from home. And because the winner is whoever makes the most PROFIT (not revenue), there are so many ways to manipulate the numbers. So I added a $99 entry fee. One thing I’ve learned from building businesses is that people tend to be more committed when they pay for something. I thought it would filter out spam, attract serious builders, and make the competition fairer for everyone. But I completely missed the other side. 3 years ago, I was a living with my apps. Today, I’m financially free. My life changed so much that somewhere along the way, I lost perspective on what $99 means to someone else. For someone in India, someone struggling to pay their bills, or someone trying to make their first dollar online, $99 can be a lot of money. And those are exactly the people I want to help! I’ve spent years sharing what I’ve learned, reviewing random people’s landing pages, and organizing free meetups around the world. Not because there’s money to make, but because I genuinely love seeing people build things and succeed. And somehow, I was so focused on keeping cheaters out that I didn’t realize I was also keeping genuine builders out. That’s my mistake. So I’ve decided to make the $100K Hackathon completely FREE :) Everyone who already paid got a full refund. I’m still worried about cheating. That problem hasn’t disappeared, and Jack and I will have to figure out better ways to verify profits and keep the leaderboard fair. But that’s our problem to solve. Thank you to everyone who shared their thoughts. Sometimes you need people to remind you of things you’ve forgotten. I genuinely hope this hackathon changes someone’s life. ❤️Liked on XIt’s time to bring back Cafe CursorPosted on Xyo @pendev i can't live share edit a .pen file? it's the most needed featurePosted on XI'm coining a word "Agentsplaining" Agents condescendingly assuming the user don't know fuck and repeating the obviousReplied on X@jayhxmo @raycast Hard to explain. It's the small detailsPosted on X@raycast iOS keyboard is insanely good. Might resub Raycast pro just cuz of thisReplied on X@ishuagra02 I saw a theory that F5.2 is a post train of 5.1, but O5.5 is a distillation of F5.5(unreleased new pretrain) and thats why O5.5 > F5.2Liked on X@anaclumos don't know what is actually improved 👀Posted on Xam i the only one underimpressed with 5.2 fableReplied on X@bvvst great minds think alike https://t.co/YRFWhb1mcOLiked on XClaude Fable 5.2 is out and it's the perfect time to run this god-level prompt on your codebase: "I want you to audit our codebase, is anything here unnecessary, overly complicated in our current setup, or based on weak assumptions? Challenge them. - What can be deleted entirely? - What can be simplified now that unnecessary pieces are gone? Then make the changes. Prefer deleting over simplifying, simplifying over optimizing, and optimizing over automating. This product is being used by thousands of customers, do not cut any corners." This prompt is one I run often and leads to the best results.Replied on X@akshayadinesh19 @bot can we please BYOM for botsLiked on XTo be fair, the Chinese models have a much lower refusal rateLiked on XF*CK IT, im creating a library of AI slop indicators. my feed is full of taste larpers. stay tuned https://t.co/5Muv8nQRm3Liked on XJENSEN! THATS NOT WHAT WE MEANT BY CHINESE MODELS!!!!!!!Liked on Xmy parents had to declare bankruptcy when I was a kid, so they had every reason to pressure me towards a more stable career path instead, they were so patient with me, even as i failed startup after startup for years so getting to tell my mom that everything turned out okay was a really special moment :) for those who can't read Korean, her first message roughly translates to: "Really!!! Congratulations my son. So much :') Thank you God!" i know I've been posting about my exit for like a week now, but it really is a big deal for me and my family! i'll share more about how this all happened and some tactical advice later this week, but for now i'm just riding out all the emotions to quote my mom, thank you God!!!!Liked on X@thefarmers_Dog it stands for Egg GzampleLiked on X🦍 Introducing Memorilla: memory as a modality for LLMs Memorilla turns everything a frozen LLM needs to remember into just 16 memory embeddings ⚡ It uses up to 4,212× fewer tokens and is 27× faster than full context inference while more accurate 🎯 Pushes the Pareto frontier over RAG and agentic memory in personalization, long-document and knowledge QA A thread 🧵:Liked on XThere's a huge product opportunity downstream of Tailscale etc too. At @tldraw we've started designing for "high trust networks" and it's been a beautiful thing. 1. Features that would be a nightmare on the internet are okay on my computer and mostly okay on private networks. Websites that execute user-generated scripts, control production systems, allow for users to send desktop notifications, spend tokens, or directly prompt my agent. Crazy stuff that would only make sense if everyone was in a committed polycule. 2. When everyone on the server can be trusted to have _external_ reasons for good behavior (eg keeping their job, or maintaining friends, family, church, mafia org), the software can be designed in a default social way. Most apps default to isolation, low horizontal visibility, highly restricted collaboration. Makes sense if the social contracts are inside of the app, but if you can trust that they live outside of the app then you can get wild. Example being small group chat names as an emergent comedy phenomenon because anyone in the group can change the name. 3. This can work for commercial products, too, not just internal stuff. Security matters more than ever but the way we've seen that manifest is that more companies are more confident in their own solutions than anything we could provide, to the point where owning data and access is a better value proposition than having it managed. Always has been true for big companies but now even small companies can get a good secure network set up pretty easily, and the hooks we need to build are easy enough. tldraw offline got us started down this road (and shout out to @pendev for first introducing me to the idea of desktop + mcp). We've been bringing that product to private networks and it's been exciting to see how much we can get away with. Keep an eye outReplied on X@saradu birds eye viewLiked on XApplications close in 2 days!! If you have a cool bio idea, and $5-10k will go a long way for you, please apply!!! https://t.co/NCvmrNC53cLiked on XWe've been early adopters of Rust since 2018 and a lot of our infra, voice tech, and even some of the current client is already Rust, the holy grail was getting the whole client there. That means Electron goes away, and so does React Native, mobile keeps native UI but shares app code with desktop via Rust. We hope to get it into testing with users soon™. (And it's not Tauri, it's GPUI, so good guess everyone.) Alright, back to staring at the WoW Forever login screen.Reposted on XOh boy. https://t.co/X7SSskGuGvLiked on XRIP .si domain squatters
Lunit AutoML 엔지니어 채용공고

Lunit AutoML 엔지니어 채용공고

Warning

Over a year old. May be outdated

노트

This document is a copy of (Seoul) Research Engineer · AutoML - Lunit. Archiving purposes only.

설명

"AI를 통한 암 정복"

Lunit은 'Learning unit'의 약자로, AI 기반 토털 암 케어를 제공하는 의료 AI 소프트웨어 회사입니다.

우리의 AI 솔루션은 암을 발견하고 암 치료 결과를 예측하여 적시에 개별 맞춤형 암 치료를 달성하는 데 도움을 줍니다.

🗨 팀 소개

Lunit의 AutoML 팀은 AI 제품 개발 프로세스 자동화에 중점을 둡니다. 수동 작업을 간소화함으로써 우리 팀은 효율적이고 효과적인 제품 개발을 가능하게 하는 데 중추적인 역할을 합니다. 또한 우리 팀은 AutoML 알고리즘 향상에 전념하고 있습니다. AI를 통해 암을 정복하겠다는 우리의 사명에 동참하세요. 여러분의 기여는 암 환자를 위한 AI 제품 개발을 발전시킬 것입니다.

🗨 직무 소개

  • 이 역할에서는 Lunit에서 대부분의 AI 모델을 훈련하는 데 중요한 역할을 하는 클라우드 기반 AutoML 플랫폼의 발전을 주도하게 됩니다.
  • 데이터 수집, 모델 훈련, 모델 선택 등 다양한 단계를 포괄하는 자동화된 제품 개발 프레임워크 개발에 적극적으로 참여하게 됩니다.

🚩 역할 및 책임

  • 효율적인 딥러닝 연구를 가능하게 하는 클라우드 기반 AutoML 플랫폼 개발
  • 확장 가능한 모델 개발을 가능하게 하는 자동화된 제품 개발 프레임워크 개발
  • 새로운 프레임워크와 기존 프레임워크 모두의 유지 관리성, 신뢰성 및 효율성 향상
  • 기존 프레임워크를 리팩토링하거나 새로운 기술과 라이브러리를 채택하여 고품질 소프트웨어 제작
  • AutoML 알고리즘을 구현하고 내부 제품의 성능 최적화에 적용

🚩 사용 도구

  • 개발 관련: Django, Django REST Framework, React, Next.js, MySQL, PostgreSQL, Redis, Celery, Nginx
  • ML 프레임워크: PyTorch, Optuna
  • 인프라: Google Cloud Platform, Kubernetes, Git, Docker
  • 일반: Slack, Confluence, Jira

요구사항

🎯 자격 요건

  • IT 업계에서 최소 2년 이상의 전문 경력
  • AI 업계에서 머신러닝 엔지니어링 또는 연구 엔지니어링 경험
  • Python, 단위/통합 테스트, 문서화, Git, 협업 코드 개발 및 Docker에 대한 숙련도
  • 컴퓨터 과학 또는 관련 분야의 학사(B.Sc.), 석사(M.Sc.) 또는 박사(Ph.D.) 학위
  • 영어로 기술 보고서를 작성할 수 있는 능력과 함께 뛰어난 의사소통 능력
  • 개별 프로젝트에 대한 책임감과 주인의식을 가지고 헌신하는 자세 입증

🏅 우대 경험

  • Django REST Framework에 대한 친숙도
  • React 경험
  • 플랫폼 개발 및 운영 경험
  • 클라우드 컴퓨팅 서비스에 대한 지식

📝 지원 방법

  • 이력서(자유 양식)

🏃 채용 프로세스

  • 서류 심사 → 기술 면접 → 과제 → 역량 기반 면접(프레젠테이션) → 문화 적합성 면접 → 온보딩
    • 모든 면접은 영어로 진행됩니다.
    • 최종 면접 후 필요한 경우 레퍼런스 체크를 진행할 수 있습니다.

🤝 근무 조건 및 환경

  • 근무 형태: 정규직
  • 근무 장소: 루닛 본사(서울특별시 강남구 강남대로 374, 5층)
  • 급여: 협의 후 결정

🎸 기타

  • 경력이나 학력을 허위로 기재하거나 지원서에 거짓 또는 사기성 정보를 제공할 경우 채용이 취소될 수 있습니다.
  • 루닛은 관련 법규에 따라 취업 보호 대상자(국가유공자 및 장애인)에게 우선 처리를 제공하기 위해 노력하고 있습니다.

복리후생

🌻 복리후생 및 혜택

  • 새 사무실은 강남역 3번 출구에서 도보 1분 거리에 있어 매우 편리합니다.
  • 회사에서 근무할 때 점심과 저녁 식사비로 각각 최대 12,000원까지 지원됩니다.
  • 입사 시 개인 작업공간을 꾸미기 위해 최대 300,000원이 지원됩니다.
  • Mac과 4K 모니터 등 최신 컴퓨터 모델을 제공하며, 3년마다 교체합니다.
  • 세미나 참석 및 도서 구매비가 지원됩니다.
  • 사내 AI 및 의료 세미나가 정기적으로 개최됩니다.
  • 한국어/영어가 모국어가 아닌 루니티언을 위해 한국어/영어 교육이 제공됩니다.
  • 고품질 AI 학습 자료 및 딥러닝 DevOps 시스템에 접근할 수 있습니다.
  • 연간 최대 120만 원 상당의 복지 포인트를 사용할 수 있습니다.
  • 한국 명절 선물: 설날과 추석 선물/상품권 제공
  • 연례 건강검진 및 근로자 상해보험이 제공됩니다.
  • 직원 모임 참여에 대한 금전적 지원 (월 1회)

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