Machine Learning Scientist - Deep Learning Research

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional development allowance

World-class computing infrastructure

Hybrid work model

Job summary

Placements24 seeks a Machine Learning Scientist in Benoni, Gauteng to advance deep learning research and develop state-of-the-art AI models. You will explore novel architectures, contribute to publications, and work with leading researchers and engineers in a stimulating environment with extensive computing resources.

The role offers a hybrid work model from the Benoni facility, supporting collaboration while enabling focused research work.

Qualifications

• Ph.D. or Master’s in CS/AI/ML or related field.
• Publications or significant project contributions in deep learning.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Strong understanding of ML theory, algorithms, and statistics.

Responsibilities

• Conduct cutting-edge research in deep learning and novel architectures.
• Design, implement, and evaluate deep learning models for CV/NLP/RL tasks.
• Analyze large-scale datasets to extract insights for research.
• Collaborate with researchers and engineers to deploy AI systems.

Skills

Deep learning research

Python programming

Machine learning theory

Data analysis

Scientific communication

Education

Ph.D. or Master’s in CS/AI/ML

Tools

TensorFlow

PyTorch

NumPy/SciPy/Pandas

Job description

About the Role

Our client is a world-class research institution pushing the boundaries of artificial intelligence. We are seeking a talented Machine Learning Scientist with a passion for Deep Learning research to join our team in Benoni, Gauteng . This role is ideal for an individual driven by scientific inquiry, eager to contribute to novel research and develop state-of-the-art deep learning models. You will work on challenging problems, contribute to groundbreaking publications, and collaborate with a team of leading researchers and engineers. The position offers a stimulating environment with access to extensive computational resources and large datasets, fostering innovation and scientific discovery. We offer a hybrid work model, providing flexibility while ensuring collaborative engagement with your colleagues at our Benoni facility.

Key Responsibilities

• Conduct cutting-edge research in deep learning, exploring novel architectures, training methodologies, and applications.
• Design, implement, and evaluate deep learning models for complex tasks in areas such as computer vision, natural language processing, or reinforcement learning.
• Analyze large-scale datasets, identify patterns, and extract valuable insights to drive research efforts.
• Collaborate with other researchers and engineers to develop and deploy advanced AI systems.
• Publish research findings in top-tier conferences and journals.
• Stay updated with the latest advancements in machine learning and deep learning research.
• Develop and maintain high-quality research code and documentation.
• Contribute to grant proposals and research project planning.
• Mentor junior researchers and interns.
• Present research progress and findings to internal and external audiences.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Demonstrated research experience in deep learning, evidenced by publications or significant project contributions.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of machine learning theory, algorithms, and statistical modeling.
• Experience with data analysis and scientific computing libraries (e.g., NumPy, SciPy, Pandas).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong written and verbal communication skills for research dissemination.
• Ability to work independently and collaboratively in a research setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) is beneficial.
• Enthusiasm for tackling challenging research problems.

Benefits

• Highly competitive salary and research grants.
• Comprehensive health, dental, and vision benefits.
• Generous professional development allowance for conferences and training.
• Access to world-class computing infrastructure and research data.
• Collaborative and intellectually stimulating work environment.
• Hybrid work model offering flexibility from our Benoni office.
• Opportunities to publish in leading academic venues.
• Contribution to pioneering AI research with global impact.
• Retirement savings plan with company contributions.