Machine Learning Engineer

Job updated 약 8시간 ago

Job Description

As a machine learning engineer, you will build the machine learning models which power PicCollage’s creative and visual applications, using the latest in computer vision and generative AI technology. You will work with PMs, designers and other ML engineers to solve exciting problems and build new features which leverage the latest breakthroughs in AI. Specifically, you will work closely with engineers to train and accelerate models, and build novel solutions involving technologies like transformers and diffusion models.

Requirements

    Responsibilities

      • Design and implement machine learning models for visually creative applications, including computer vision and generative AI.
      • Keep up to date with the latest advancements in machine learning, and apply new technologies to improve our products.
      • Collaborate with other engineers and cross-functional members to identify new challenges/opportunities and translate open problems into specific technical problems to work on.


    Qualifications

      • Experience in training or finetuning deep learning models, preferably in computer vision
      • A deep and clear understanding of transformers, self- and cross-attention, ViTs.
      • Strong grasp on a deep learning framework like PyTorch, Tensorflow or JAX (we use PyTorch here).
      • A MS degree or higher in a related field (machine learning, computer science, etc), or equivalent experience.
      • Ability to delve deep into topics and have a fundamental understanding of key concepts in ML. We prefer deep understanding of key concepts over having a shallow knowledge of a wide range of topics. Example of delving deep: you are working with CLIP model and want to visualize the attention maps for each transformer block to understand what’s going on.
      • Good communication skills in English.
      • Strong knowledge of linear algebra and probability.


    Plus

      • Experience in generative AI, particularly text to image models, is a great plus. Bonus points if you have experience training adapters (LoRA, ControlNet, IP-Adapter etc) for Stable Diffusion models.
      • Has strong analytical skills
      • Has has an artistic side
      • Has experience in computer vision and/or generative AI.
      • Published papers or research work related to ML.
      • Familiarity with diffusers and diffusion models.


    You should still consider applying even if you don’t have a lot of experience with diffusion models. A great candidate is someone who learns machine learning deeply, not only superficially. A candidate who developed deep expertise with any relevant ML topic will fit better than a candidate who only has limited understanding of diffusion.

Interview process

After you submit your application, the next steps are one or two video interview calls (with short written questions), followed by an onsite interview. Our interview process includes interesting exercises with our team members (e.g. pair programming, design brainstorming). Through this process, we hope you can get to know what it's like to work with us, and get to know our team and culture!

2
3 years of experience required
1,700,000 ~ 3,000,000 TWD / year
Partial Remote Work
Personal Invitation Link
This is your personal referral link for job invitation. You'll receive an email notification when someone applied for the position via your job link.
Share this job
Logo of PicCollage 拼貼趣.

About us

嗨!我們是來自矽谷的新創團隊 PicCollage Company,我們團隊鼓勵自由創造,擁抱差異與多元文化,打造『開放、學習、分享』的工作環境。產品開發近期以『Creative AI』為主軸,打造使用者能輕鬆發揮創意的各項影像編輯產品。

『Creative AI』 是創意 AI 的展現和延續

透過 Generative AI 和 ML 技術的研究,開發出具創意的 AI 並導入產品功能。Creative AI 不僅展現在我們挑選的技術領域,還有主打的產品開發類別,讓使用者在操作 app 的過程中展現更多創意!

主要產品『PicCollage 拼貼趣』是一個追求自由創造及分享的影像拼貼 app,主要使用者來自美國、英國及日本等國家。目前全球下載量已突破 2.6 億,每個月 1500 萬穩定用戶量,並穩定增長中。

另外,新產品團隊 Explore 持續開發新 app 產品,像是挑選片段就能產出的對拍影片 (OnBeat)、或是一張頭像就能生成你的專屬迷因 (MemeMe)、同時線上多組討論視訊軟體 (MixerChat) 等。再戰創意領域 app 的下一個產品里程碑!


我們相信:

  • Always be Learning - 除了發放學習補助金之外,我們也會特別安排時間讓團隊學習不同事物,可以正面的回饋在個人發展及團隊目標!
    • Workshop Day ➤ https://youtu.be/6N6L7KbajII
    • 定期舉辦的 PicCollage 黑客松 : InnoFest ➤ https://youtu.be/kbMPoQ6ifmc
  • Live Well, Work Well - 提供彈性的休假制度及工作模式,讓成員可以更好的安排生活,並在工作上有最傑出的表現!
    • Life at PicCollage ➤ https://www.youtube.com/@piccollageteam4227/featured
  • Win as Team - 重視每位成員表達意見及想法的機會,不論來自哪個部門,都可以為團隊目標盡一份心力!

期待遇見更多 #builders #dreamers #thinkers 來激盪創意,加入 PicCollage Company 和我們一起做出好玩、富有創意的軟體產品到全世界🌎


我們提供部分遠端工作:彈性工作地點 (需配合台灣時區參與會議)

欲更認識我們,歡迎參考以下連結:

  • Our Office ➤ https://www.youtube.com/watch?v=R7jqZdIugRs
  • Our Products ➤ https://picc.co/products
  • Tech Blog ➤ https://tech.pic-collage.com/
  • 成員分享:團隊文化 ➤ https://bit.ly/3zyQrAl

想更認識 PicCollage 團隊和職缺嗎? 來參加每個月舉辦的 Online Info Session 線上招募同樂會,你能更了解招募中的職缺、並與成員互動 QA唷。現在就報名登記:https://forms.gle/bkHk4QUPC4ACCnMcA



Jobs

Full-time
Mid-Senior level
2
1.7M ~ 3M TWD / year

Full-time
Mid-Senior level
1
1.6M ~ 2.4M TWD / year

Full-time
Mid-Senior level
1
1M ~ 1.5M TWD / year