Unpaid Deep Learning Engineering (Long-term Intern)

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Job updated 6 months ago
The employer was active about 1 month ago

Job Description

To whom it may concern, this position is open to Taiwan students who are not eligible for the long intern position (pre-training phase).
Note 1: This is for the interns (for example, SkyDeck interns) who LACK EXPERIENCE IN DEEP LEARNING SYSTEM DESIGN AND A STRONG BACKGROUND IN COMPUTER SCIENCE; PLEASE APPLY FOR THIS POSITION.
Note 2: The candidate only have 3 months to pass the test and transfer to a formal paid position

Unpaid- Intern (Taiwan local students)
Avalanche Computing, a deep learning data scientist / engineer, delivers amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning for demo the concept. As a data scientist/deep learning intern on our team, you'll help to 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 spanning the border of different cloud platforms and edges on our SaaS product with our full-time data scientists.

The most important task is that your demo needs to be fast, not just our AI development cycle but also the running speed in demo concepts. 

Noted that now there are many candidates from around the world, but this position from Cakeresume is for Taiwan students only. We will contact you if you are fit for our position.


Requirements

Key Qualifications

  • You have demonstrated the fundamentals of building algorithms driven by machine learning, computer vision, deep learning (must-have experience), time-series data analysis, and deep learning knowledge.
  • You have experience in Python and relevant AI frameworks (e.g., Numpy, TensorFlow, PyTorch, OpenCV).
  • It is also valuable with coding skills in C and C++ as well as experience with Unix/Linux and software development practices (documenting, debugging, testing, maintaining).
  • Good skill on verbal and written communication skills.
  • Fast reading and implementation of research papers.
  • Can build deep learning applications or assemble several algorithms. 
  • You're a passionate team worker who seeks to solve the most difficult problems innovatively.

Note: this position will compete with global talents.
(We will only contact the qualified candidate to join the interview).

Interview process

The process at Avalanche Computing

  1. CV review.
  2. Online interview - personal 1-1 interview about your Skill and future plan.
  3. Online test
  4. On-site Interview and test
  5. [Inside] team interview
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About us

Please search for internships or jobs on our LinkedIn page and message us. https://www.linkedin.com/company/avalanc

NEWS: 
https://youtu.be/PgVK3D5JCxU?si=lLCTR7Oz_t1LGmrD&t=213

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Avalanche Computing Taiwan Inc., funded by NVIDIA USA alumni in 2018, established its core team in Taipei at the end of the same year. After a collaborative year, it was registered in February 2020. In March, it won the Airbus global top-10 innovation startup award and joined the NVIDIA global inception program, becoming part of NTUTEC. Since then, it has received several awards at major global exhibitions, including Viva Tech 2023 and QITC 2021.

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, a long wait 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. In 2024 Jan, we launched the first and most tiny offline GenAI product on NVIDIA edge devices (AIthena). 

We also won several awards:

Important Expos:

  • NVIDIA GTC San Jose (2024)
  • Techcrunch (2020, 2021)
  • CES (2020 - 2025)
  • VIVE Tech (2022 - 2025)
  • London Tech Week (2022 - 2024)
  • Hub Berlin! (2022)
  • Collision (2021)
  • HelloTomorrow (2020, 2021)
  • South Summit (2021, 2022)
  • Websummit (2021 - 2023)
  • AI Summit (2022, 2023)

Our office is now in the following

  • Taipei (office), Taiwan
  • San Francisco (HQ moved 2025), CA, U.S.
  • LA (BD and sales team), CA, U.S.
  • Berlin, GE (Coming soon)
  • London, UK (Coming soon)
  • Tokyo, Japan (Nagoya and Osaka Coming soon)
  • Paris, FR (Coming soon)

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