Description

Company Description

GreenDynamics is an AI for Material Discovery company located in UNSW Sydney, Australia. We specialize in accelerating renewable material discovery by 1000x faster with our advanced Generative AI technology.

Please send your CV to [email protected]

Role Description
• Responsible for deep learning modelling work in various stages of innovative material discovery.
• Responsible for large-scale pre-training model development, AI + physical computation technology development, as well as community building and technical sharing.
• Collaborate with interdisciplinary R&D teams in physics, chemistry, biology, etc., to develop cutting-edge algorithms and publish papers.

Benefits
• Innovative Environment: Work alongside a diverse team of experts in a cutting-edge field, contributing to projects that redefine what's possible within software architecture and algorithm design.
• Skill Development: With exposure to a wide range of technologies and a mandate to manage multifaceted platform development, you’ll rapidly broaden your technical skills, especially in JavaScripts, container technologies, and microservices architecture.
• Impactful Work: Your contributions will be core to the success of our projects. Through collaboration with cross-functional teams, you’ll see firsthand the impact of your work on our products and the value we deliver to our customers.
• Professional Growth: We believe in nurturing the professional growth of our employees. Through challenging projects and the support of a dedicated team, you will learn, grow, and evolve as a Backend Development Engineer.
• International Culture of Excellence: Our team is driven, and respectful, and values the power of collective problem-solving. We strive to foster a positive, engaging, and international environment where innovation thrives.
• Flexible Work Arrangements: We understand the importance of work-life balance and offer flexible working arrangements to meet the needs of our employees.
• Competitive Compensation and Benefits: Enjoy a competitive salary, benefits, and the potential for career advancement within a stable and growing company.

Qualifications
• Bachelor's degree or above; strong engineering implementation ability, capable of handling debugging, performance optimization issues during algorithm implementation; familiar with deep learning training platforms such as PyTorch, TensorFlow.
• Proficient in Transformer; at least proficient in one basic knowledge area among NLP, CV, Graph, or Reinforcement Learning, with in-depth research and practical experience in at least one field; follow cutting-edge technologies closely.
• Good teamwork and communication skills, proactive, good at thinking, strong analytical and problem-solving abilities.
• Strong interest in the AI+Science field.

Skills

• PyTorch
• Reinforcement Learning
• Natural Language Processing (NLP)
• Artificial Intelligence (AI)
• Pattern Recognition
• Modeling
• TensorFlow
• Deep Learning
• Research and Development (R&D)
• Machine Learning

Educational Requirements

• Bachelors Degree