AI/ML Research Scientist
6 days ago
Position:
AI/ML Research Scientist
Employer:
tma
Location:
Offices in Sandton, Durban, Cape Town, or Kenya
Work Type:
100% Work-from-the-Office
Shift:
1 AM – 4 PM
About the Role
We are seeking a passionate and driven
AI/ML Research Scientist
to join our R&D team at a fast-growing, innovation-first deep-tech company. This role is ideal for individuals who thrive in research-driven environments, have a solid foundation in machine learning and artificial intelligence, and are eager to push the boundaries of what's possible with intelligent systems.
As an AI/ML Research Scientist, you'll work on ambitious challenges in machine learning, publish your findings in top-tier venues, and collaborate with a global network of leading academic and industry researchers. Your work will directly shape the future of advanced intelligent technologies across a wide range of real-world applications.
Key Responsibilities
- Conduct original, high-impact research in AI/ML
- Design and develop novel algorithms, models, and methodologies
- Publish in top-tier conferences/journals (NeurIPS, ICML, CVPR, AAAI, etc.)
- Collaborate with engineering & product teams to prototype research ideas
- Engage with the global research community
- Mentor junior researchers, data scientists, and engineers
- Present findings at conferences, symposiums, and workshops
- Stay current with emerging AI/ML trends
Required Qualifications
- 3+ years' hands-on research experience (industry, academic, or postdoctoral)
- Track record of publications in leading AI/ML venues
- Proficiency in
Python, C++, Julia
or similar, plus
PyTorch, TensorFlow, JAX - Deep theoretical understanding of ML, statistics, and optimisation
- Strong analytical, creative, and problem-solving skills
Preferred Qualifications
- PhD in Computer Science, AI/ML, Applied Mathematics, or related field
- Postdoctoral or advanced academic research experience
- Experience leading or mentoring research teams
- Industry research lab or AI-focused start-up background
- Deep expertise in:
- • Reinforcement Learning
- • Generative Models (GANs, VAEs, Diffusion)
- • Large Language Models & Transformers
- • Computer Vision
- • Probabilistic Modelling & Bayesian Inference
- • Causal Inference & Decision Systems
What We Offer
- Access to cutting-edge compute infrastructure
- Flexibility to explore high-impact research directions
- Opportunities to publish, present, and attend top AI/ML conferences
- A diverse, mission-driven team working on transformative tech
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