Full-Time

Junior Machine Learning Engineer

ML Applications in Web3

Updated on 5/6/2024

Openmesh Networks

Openmesh Networks

11-50 employees

Decentralized data infrastructure for Web3


Junior

New York, NY, USA

Required Skills
Python
Tensorflow
Pytorch
Data Analysis
Requirements
  • Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field
  • Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Understanding of blockchain and decentralized technologies
  • Strong problem-solving and analytical skills
  • Excellent programming skills in languages such as Python
Responsibilities
  • Xnode ML Integration: Explore and implement machine learning models within the Xnode ecosystem for advanced data processing and analysis.
  • Innovative ML Applications: Contribute to the development of innovative machine learning applications that enhance the capabilities of the Xnode data cloud.
  • Pythia ML Integration: Collaborate with Pythia developers to integrate machine learning models into data analytics processes, optimizing insights generation.
  • Data Labeling: Contribute to data labeling processes to improve the quality of training datasets for machine learning models.
  • Performance Evaluation: Conduct performance evaluations of machine learning models and iterate on improvements.

Openmesh is at the forefront of decentralized data infrastructure, focusing on secure, middleman-free storage solutions for critical global and Web3 data. This places it as a key player in an emerging tech sector, offering employees a chance to work on groundbreaking projects with significant impact. The company's commitment to innovation in data decentralization provides a dynamic work environment for tech professionals passionate about pioneering new data storage methodologies.

Company Stage

N/A

Total Funding

N/A

Headquarters

Sydney, Australia

Founded

2020

Growth & Insights
Headcount

6 month growth

20%

1 year growth

20%

2 year growth

20%