ML Research Scientist

Job Description

We are looking for a knowledgeable ML Research Scientist to lead research initiatives and collaborate with cross-functional teams. The right candidate will leverage their skills in data analysis and machine learning to pioneer innovative projects and explore new applications.

Responsibilities

• Lead projects focusing on pioneering AI methodologies.
• Collaborate with data scientists to gather insights and refine machine learning approaches.
• Apply statistical processes and data analysis to drive experimental research.
• Optimize model performance using best practices and cutting-edge techniques.
• Document and present research results to both technical and non-technical audiences.
• Participate in workshops and conferences to share knowledge and insights.
• Support the development of AI products by providing research-backed recommendations.

Requirements

Education

• Master's degree in Computer Science, Data Science, or related field
• PhD preferred, especially in AI or ML specialties

Experience

• 4+ years of experience in machine learning research or data science

Technical Skills

• Python
• TensorFlow
• R

Soft Skills

• Analytical thinking
• Team collaboration

Certifications

• AWS Certified Machine Learning - Specialty
• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Experience with CUDA programming: Knowledge of GPU-based computing and programming using CUDA for accelerating ML algorithms.
• Experience with cloud services: Familiarity with cloud computing platforms such as AWS and Google Cloud.

Benefits

• Comprehensive health and wellness benefits
• Flexibility with remote work options
• Opportunities for continuous learning and professional development
• Competitive salary with performance-based bonuses

Company Culture

• Innovation: We value creativity and innovation, encouraging our teams to explore new ideas and solutions.
• Collaboration: A collaborative culture that focuses on teamwork and shared success.
• Diversity and Inclusion: We are committed to creating a diverse workforce and an inclusive environment for all employees.