Remote AI Research Scientist — Innovate, Publish & Lead

Placements24; Richards Bay; Remote; ZAR 1,990,000 - 3,151,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Health insurance

Paid time off

Conference budget

Home office allowance

Job summary

Placements24 is seeking a Remote AI Research Scientist to join its world-class research team. The role involves exploring novel AI algorithms, publishing findings, and collaborating with researchers globally in a fully remote setup.

The candidate should have a PhD in CS/AI/ML/Statistics and a strong theoretical foundation, with proficiency in Python and major DL frameworks. A passion for scientific discovery and independent research is essential.

Qualifications

• PhD in Computer Science, AI, ML, Statistics or related field.
• Demonstrated track record of impactful AI/ML research with publications.
• Strong theoretical and mathematical foundation in ML.
• Proficiency in Python and DL frameworks (TF, PyTorch, JAX).
• Experience with data analysis libraries (pandas, NumPy).

Responsibilities

• Conduct cutting-edge AI/ML research and develop novel algorithms.
• Design and run experiments to validate hypotheses and models.
• Stay updated on AI/ML research trends and breakthroughs.
• Collaborate with researchers and engineers to translate findings into prototypes.
• Publish results in top conferences/journals and present findings.
• Develop ML models using TensorFlow, PyTorch, or JAX.
• Contribute to AI software libraries and tools.
• Analyze large datasets to guide research directions.
• Mentor junior researchers and interns.

Skills

Independent researcher

Analytical thinking

Scientific writing

Collaboration

Education

PhD in CS/AI/ML/Statistics

Tools

TensorFlow

PyTorch

JAX

pandas

NumPy

Job description

Placements24 is seeking a Remote AI Research Scientist to join its world-class research team. The role involves exploring novel AI algorithms, publishing findings, and collaborating with researchers globally in a fully remote setup.

The candidate should have a PhD in CS/AI/ML/Statistics and a strong theoretical foundation, with proficiency in Python and major DL frameworks. A passion for scientific discovery and independent research is essential.