Machine Learning Intern

Wismut Labs Pte. Ltd.



  • Job Ref.No: 01174311
  • Budget:
  • Timeline: to be confirmed later
  • Closing on: 11/11/2021
  • Country: Singapore

Job Description

Part-timers & Freelancers are welcomed to apply this Full time position
We are searching for Machine Learning Engineer interns with experience in computer vision with Imaging, Video & Audio processing.

Intern / Internship Criteria:
Singapore Citizen or Singapore Permanent Resident;
Full-time matriculated student from a Singapore-based institute of higher learning;
Three- or six-months, full-time internship.

Intern Responsibilities:
Evaluate state-of-the-art content generation / augmentation approaches.
Design and implement proof-of-concept solutions for content generation / augmentation.
Train machine-learning models on real-world data-sets.
Write production-grade software.

Working Style:
Flexible working hours (except for daily standup meetings)

Supervision / Reporting Lines:
Wismut Labs' CTO
Job Requirement
The ideal candidate will be a talented software engineer or research scientist with a passion for machine learning and dynamic content generation / augmentation. During this internship, you will be working with technical experts from Wismut Labs as well as those from one of our key clients, a San Francisco-based startup specialising in dynamic content generation.

Intern Qualifications:
  • Specialisation in computer science, machine learning, statistics, mathematics or related field;
  • Proficient in using at least one of the following: Keras, TensorFlow, Torch/PyTorch, mxnet, or any other Deep Learning framework;
  • Proficiency with public cloud-computing environments (preferably Amazon Web Services);
  • Proficient with best practices around software development, modeling and validation;
  • Experience developing software in C/C++/Java/Python/Scala (Python strongly preferred);
  • Experience in handling real-world data sets through project work, internships or employment;
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle (such as coding standards, code reviews, source control management, build processes, testing, and operations);
  • Ability to work independently with minimal oversight.

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