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Deep Learning / Data Scientist (Entry Level, LV 0)

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Job updated 4 meses ago
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Descripción del trabajo

AI, Deep Learning, and Data Scientists (Entry-level)

Avalanche Computing deep learning data scientists deliver amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning. As a data scientist/deep learning engineer on our team, you'll develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI model span the border of different cloud platforms and edges on our SaaS development tool product hardware.

In 5 years, whenever you see an "AI for all - application" advertisement, you see our customers; it could be your contribution too.

Note: This position needs to pass 1st phase testing (1-3 months).

Requisitos

Key Qualifications

You have demonstrated "background knowledge" on how to build algorithms driven by machine learning, computer vision, deep learning, time-series data analysis, and deep learning knowledge. 

Fundamental knowledge of GPU server hardware and edge hardware is required. 

For ENTRY LEVEL, All the skills will be re-training ourselves. 

  • Strong knowledge of server and GPU chipset hardware.
  • Strong background in Computer Science knowledge.
  • You have fluency in Python (OpenCV, STFT, et al.) and fundamental knowledge of one of the relevant AI frameworks (e.g., Numpy, TensorFlow, PyTorch).
  • Good skill on verbal and written communication skills.
  • With an open mindset, we build a Bay Area culture (as a startup, this is most important).
  • You're a passionate team worker who seek to solve the most challenging problems in innovative ways.
  • MUST have deep learning end-to-end experience during your study (lab)

[Option]

  • It is also valuable to have coding skills in C, C++, and docker and experience with Unix/Linux and software development practices (debugging, testing).
  • Knowledge of NVIDIA multi-GPU programming for AI, optimization, and TensorFlow-Lite is a plus.

Proceso de entrevista

The process at Avalanche Computing Inc. and Taiwan 
This is a long process, it may spent more than three months.

  1. CV review
  2. Online interview - introduction to Avalanche Computing.
  3. Online interview - personal 1-1 interview about your Skill and future plan.
  4. Online test on python or specific skillsets
  5. On-site Interview and test face to face
  6. [Inside] team interview
  7. Personal Discussion
  8. Reference Check
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39,700 ~ 53,000 TWD / mes
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Sobre nosotros

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 SusHi Tech Tokyo (May 15-16 the selected startup by Japan gov)
  • 2024 GTC San Jose (March 18-21 Feature startup and booth with Taiwan partners)
  • 2024 CES per-roadshow, best investment startup in the Bay Area (Jan 5, 2024) https://www.ntdtv.com/b5/2024/01/25/a103846335.html
  • 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 2025), 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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