AI Research Scientist

Job Description

We are seeking a talented AI Research Scientist to join our dynamic team in Cambridge. The ideal candidate will conduct cutting-edge research in artificial intelligence and machine learning, contributing to the development of innovative solutions. You will be involved in designing experiments, analysing data, and implementing algorithms that drive our projects forward. This role offers a unique opportunity to work on transformative technologies and collaborate with leading experts in the field.

Responsibilities

• Develop and enhance AI models for various applications.
• Work with cross-functional teams to integrate AI capabilities into products.
• Evaluate the performance of algorithms and refine them for better accuracy.
• Participate in the full cycle of product development from concept to deployment.
• Author research papers and contribute to academic publications.
• Lead project initiatives and manage timelines for experimental research.
• Facilitate workshops and training sessions on AI topics.
• Collaborate on grants and funding opportunities related to AI research.

Requirements

Education

• PhD in Computer Science, Artificial Intelligence, or related field
• Master's degree is preferred

Experience

• 3+ years of experience in AI research or machine learning

Technical Skills

• Machine Learning
• Python
• TensorFlow
• Data Analysis

Soft Skills

• Critical Thinking
• Communication
• Team Collaboration

Certifications

• Certified Data Scientist
• Machine Learning Specialization Certificate

Languages

• English: Fluent

Advantageous

• Experience with Natural Language Processing (NLP): Familiarity with tools and techniques for NLP applications.
• Knowledge of Cloud Services: Experience with cloud platforms such as AWS or Azure.

Benefits

• Competitive salary and performance-based bonuses
• Health and wellness benefits, including mental health support
• Flexible working hours with remote options
• Professional development and training opportunities

Company Culture

• Innovation: We embrace innovation and encourage fresh ideas and creative solutions.
• Teamwork: Our collaborative environment fosters team success and knowledge sharing.
• Diversity: We value diversity and ensure every team member's voice is heard.