AI Research Scientist

Job Description

We are seeking a talented AI Research Scientist to join our dynamic team in Edinburgh. The successful candidate will be responsible for designing and implementing novel machine learning algorithms that push the boundaries of AI research. You will collaborate closely with cross-functional teams, leveraging advanced statistical methods and ensuring robust model performance. Your expertise will contribute to innovative projects that have a meaningful impact on the industry.

Responsibilities

• Research and apply new AI methodologies to enhance existing models.
• Work with data scientists to prepare datasets for training and evaluation.
• Conduct peer reviews of research and development efforts.
• Foster a culture of innovation and continuous improvement within the team.
• Engage with external partners and institutions for collaborative research.
• Prepare grant proposals and contribute to funding applications.
• Provide technical support across departments for AI-related initiatives.

Requirements

Education

• PhD in a relevant field (Computer Science, Mathematics, or Engineering)
• Master's degree with significant industry experience may be considered

Experience

• 4+ years of experience in applied machine learning

Technical Skills

• R Programming
• Scikit-Learn
• Deep Learning Techniques

Soft Skills

• Problem-Solving
• Teamwork

Languages

• English: Fluent

Advantageous

• Knowledge of computer vision: Experience with computer vision technologies and libraries.
• Experience in agile methodologies: Familiarity with agile project management and development practices.

Benefits

• Health, dental, and vision insurance for employees and family
• Generous annual leave policy
• Employee assistance programs
• Work-from-home options
• Access to professional development courses

Company Culture

• Collaboration: Teamwork is at the core of our operations, fostering a collaborative environment where all ideas are valued.
• Transparency: We believe in open communication, keeping teams informed and engaged in decision-making processes.
• Work-Life Balance: Our organization supports a healthy work-life balance, promoting well-being in the workplace.