Machine Learning Researcher
Cape Town, Western Cape, South Africa · પૂર્ણ સમય
અરજી કરનારા સૌ પ્રથમ બનો
- અનુભવ
- ૪+ વર્ષ
- પગાર
- —
- ઓપનિંગ્સ
- 1
- પોસ્ટ કર્યું
- 5 કલાક પેહલા
- કાર્ય મોડ
- ઓફિસમાં
- શિક્ષણ
- સ્નાતકની ડિગ્રી
- લાયકાત
- Only candidates who have work authorization in South Africa may apply.
- ફરી શરૂ કરો
- અરજી કરવી જરૂરી છે
તમે ક્યાં કામ કરશો
કામનું વર્ણન
About the Role
Our innovative client is building the AI infrastructure layer tailored for modern e-commerce platforms and seeks a Machine Learning Researcher to join their data team based in Cape Town. This role focuses on pioneering advancements in zero-shot multimodal discovery technologies integral to the company's core offerings.
Key Responsibilities
- Investigate and create advanced machine learning models aimed at enhancing e-commerce discovery experiences.
- Conduct hyperparameter tuning and detailed ablation experiments to optimize model performance.
- Formulate innovative loss functions and training objectives to improve learning efficiency.
- Oversee experiment documentation ensuring reproducibility and effective tracking of research outcomes.
- Disseminate research findings through publications and actively participate in the research community.
- Utilize frameworks and tools such as PyTorch, HuggingFace, alongside tailored training infrastructures.
Candidate Qualifications
- Possess at least a Bachelor's degree in fields like Computer Science, Machine Learning, Data Science, AI, Software Engineering, Electrical Engineering, Mathematics, or a closely related discipline, preferably from a prestigious institution.
- Postgraduate qualifications such as a Master's or PhD are highly favored.
- Have a minimum of four years experience in machine learning research, whether in academic or industrial settings.
- Demonstrate a strong history of published work focusing on computer vision, natural language processing, or recommendation systems.
- Exhibit expert-level proficiency in PyTorch and the fundamentals of deep learning.
- Experience with reinforcement learning, representation learning, or multimodal modeling is advantageous.
- Capability to translate theoretical research rapidly into functional production prototypes.
Benefits & Additional Information
- Equity ownership opportunities within the startup company.
- Chance to be part of an early-stage, rapidly growing venture.
- Engage in significant technological innovations impacting product development and infrastructure.
- Opportunity to address complex challenges with quick feedback cycles.
- Competitive compensation package and access to advanced technological resources.
Eligibility: This position is available only to individuals already authorized to work in South Africa.
About the Recruiter
We specialize in matching exceptional talent with leading-edge companies developing transformative technology on a global scale. Our partnerships span across technological innovators in Europe, the US, and Asia with a focus on data, machine learning, and AI-driven initiatives. We are committed to supporting professionals dedicated to leveraging their skills to create positive societal impacts.