AI Research Scientist

Job Description

We are seeking an AI Research Scientist to join our team in Hobart. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data analysis, with the ability to develop and implement innovative algorithms and models. You will be tasked with conducting research that advances our AI capabilities and contributes to groundbreaking projects.

Responsibilities

• Lead research projects geared toward advancements in machine learning applications.
• Develop prototypes using state-of-the-art tools and frameworks.
• Collaborate with engineers to integrate AI algorithms into existing products.
• Evaluate and optimize model performance based on operational feedback.
• Mentor junior researchers and interns in best practices and methodologies.
• Engage in academic partnerships and collaborations to foster innovation.
• Present findings at industry conferences and contribute to technical publications.
• Work alongside data engineers to prepare and preprocess data for modeling.

Requirements

Education

• Bachelor's degree in AI, Computer Science, or a related area
• Master's or PhD preferred in a relevant field

Experience

• 5+ years working in AI and machine learning research or applications

Technical Skills

• Deep Learning
• Cloud Computing

Soft Skills

• Problem-solving
• Mentorship

Certifications

• TensorFlow Developer Certificate
• AI For Everyone by Andrew Ng

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning techniques: Understanding of reinforcement learning methodologies and implementation.
• Experience with big data technologies: Knowledge of Hadoop, Spark, or similar tools for handling large datasets.

Benefits

• Competitive salary package
• Health and wellness programs
• Flexible work schedule
• Opportunities for professional development
• Team building and onsite activities

Company Culture

• Innovation: Our focus is on innovation, and we encourage creative solutions and thinking outside the box.
• Team-oriented: We nurture a supportive environment that values collaboration and teamwork in all our projects.
• Empowerment: We empower our employees to take initiative and contribute their unique perspectives.