AI Engineer (Entry Level 0-2)

Job updated 26 days ago
Actively Reviewing Resumes

Job Description

  • Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems
  • Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) 
  • Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc.
  • Work closely with data engineers and analysts to implement models in production environments.
  • Monitor and maintain AI systems in production, ensuring optimal performance and efficiency.
    Stay up-to-date on the latest AI research and industry trends.

Requirements

  • Bachelor's or Master's degree in Computer Science, AI, Mathematics or related technical field
  • Real hands-on experience building and deploying machine learning systems during university
    Expertise in languages like Python, C++, etc.
  • Experience with common ML frameworks and libraries like TensorFlow, Keras, PyTorch, etc.
  • Strong math and statistical knowledge (calculus, linear algebra, probability etc.)
  • Understanding of software engineering best practices related to testing, documentation, and code maintenance
  • Proficiency in cloud platforms like AWS, GCP, or Azure to deploy ML systems
  • Excellent communication and presentation skills
  • MUST have experience doing Deep learning system projects (during the study)

    Please let me know if you would like me to modify or expand this draft job description in any way. I'm happy to incorporate any additional details or requirements you think are important for this role.

Interview process

Follow the standard process

1. Participate in an assigned AI contest (two weeks). 
2. Online interview (phase 1)
3. Online skill testing
4. Group interview (phase 2)
5. Discussion 

50
1 years of experience required
35,756 ~ 89,700 TWD / month
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About us

Avalanche Computing Taiwan Inc. was funded by Nvidia USA alumni in Santa Clara, CA, USA, in 2018. The core team was established in Taipei, Taiwan at the end of 2018. After a year of collaboration with many enterprises, Avalanche Computing Taiwan Inc. was registered in February 2020. In the first month, we won the Airbus global top-10 innovation startup award in March, joined the NVIDIA global inception program, and became a part of NTUTEC. The time flies, we won several awards in global huge exhibitions at Viva Tech 2023, LTW 2022, QITC 2021, et., al.

What we do:
The barrier to entry in AI is lower than ever before, thanks to open-source software, including frameworks like TensorFlow, Keras, PyTorch, and more. However, developing specific AI applications still poses challenges for traditional companies and SMEs, as they must build data pipelines, computing environments, and AI models. But, only a few teams can help speed up the AI computing (NVIDIA team and we can do well).

To overcome these challenges (few talents, long-time waiting for computing, and a long-development cycle), we provide hyper-scale computing techniques for deep learning. Our hyper-scale computing framework is a deep-tech solution for computing technology. With our hyper-scale technology, clients can focus on innovation while we handle the rest. We offer hyper-scale architecture, multi-GPUs, distributed model training, and hyper-scale inference on 10,000+ edge devices. Clients can simply upload their AI models into our SaaS AI development tool within minutes. We call it hAIsten AI.

We also won several awards:

  • 2024 GTC (Coming soon)
  • 2024 CES per-roadshow, best investment startup at the Bay Area (Jan 5, 2024)
  • 2023 SLINGSHOT by SWITCH Top-50 (OCT 6 updated)
  • 2023 Viva Tech Startup Pitch Award (Edge Hub )
  • 2023 Apr, SelectUSA Taiwan startup delegate
  • 2022 Dec, TAcc+ Winner for Global Expansion 
  • 2022 Intel IPA (member), WPI (business partner)
  • 2022 Featured startup in London Tech Week
    (https://www.bnext.com.tw/article/69944/most-tta-startup-uk
  • 2021 Best Investment Startup in APAC (EETimes)
    https://site.eettaiwan.com/emag/202112/files/basic-html/page9.html
  • 2021 Best Investment Startup in Taiwan (EETimes)
  • 2021 QITC 10 Finalists (Qualcomm)
  • 2021 Top 200 teams (South Summit)
  • 2021 Top DeepTech Pioneer (HelloTomorrow Global 2021)
  • 2021 Berkeley SkyDeck GIP
  • 2020 NVIDIA Inception
  • 2020 NTUTEC alumni
  • 2020 The global finalists by Airbus (HelloTomorrow)

Important Expos:

  • NVIDIA GTC San Jose (2024)
  • Techcrunch (2020, 2021)
  • CES (2020, 2021, 2022, 2023, 2024)
  • VIVE Tech (2022, 2023, 2024)
  • London Tech Week (2022, 2023, 2024)
  • Hub Berlin! (2022)
  • Collision (2021)
  • HelloTomorrow (2020, 2021)
  • South Summit (2021, 2022)
  • Websummit (2021, 2022, 2023, 2024)
  • AI Summit (2022, 2023)

Our office is now in the following

  • Taipei (office), Taiwan
  • San Francisco (HQ moved 2024), CA, U.S.
  • Berlin, GE (Coming soon)
  • London, UK (Coming soon)
  • Nagoya and Tokyo, Japan (Coming soon)
  • Paris, FR (Coming soon)

Now, the SaaS product is launched in the U.S. 

If you are interested in our position, please send your CV to: [email protected]


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AI/Deep Learning Specialist

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