Machine Learning Researcher, Cape Town
Machine Learning Researcher, Cape Town
-
Cape Town, South Africa
-
Last edited: a week ago
-
Save
Description
Our cutting-edge client, building the AI infrastructure layer for modern e-commerce, is searching for a
Machine Learning Researcher
to join the data team in
Cape Town
(hybrid). We’re searching for bright minds in order to push the boundaries of what's possible in zero-shot multimodal discovery. In this role, you'll design, implement, and evaluate novel architectures that power this embryonic business’ core technology. Responsibilities
Research and develop advanced ML models for e-commerce discovery. Run hyperparameter optimisation and ablation studies. Design novel loss functions and training objectives. Manage experiment tracking and reproducibility. Publish results and contribute to the broader research community. Work with PyTorch, HuggingFace, and custom training infrastructure.Qualifications
Minimum Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Electrical Engineering, Mathematics or a related field, from a top-tier university Masters or PhD studied preferred 4+ years of ML research experience (academia or industry).Strong publication record in CV, NLP, or recommender systems. Expert-level PyTorch and deep learning fundamentals. Experience with RL, representation learning, or multimodal models. Ability to go from paper to production prototype quickly. Generous equity in the business An opportunity to join an early-stage start-upGreat opportunity to make a large technological impact on the product and its systems Complex challenges with fast feedback loops Great remuneration package Advanced equipment/technology This position is open to people already eligible for work in South Africa.
#J-18808-Ljbffr
Machine Learning Researcher
to join the data team in
Cape Town
(hybrid). We’re searching for bright minds in order to push the boundaries of what's possible in zero-shot multimodal discovery. In this role, you'll design, implement, and evaluate novel architectures that power this embryonic business’ core technology. Responsibilities
Research and develop advanced ML models for e-commerce discovery. Run hyperparameter optimisation and ablation studies. Design novel loss functions and training objectives. Manage experiment tracking and reproducibility. Publish results and contribute to the broader research community. Work with PyTorch, HuggingFace, and custom training infrastructure.Qualifications
Minimum Bachelor’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Electrical Engineering, Mathematics or a related field, from a top-tier university Masters or PhD studied preferred 4+ years of ML research experience (academia or industry).Strong publication record in CV, NLP, or recommender systems. Expert-level PyTorch and deep learning fundamentals. Experience with RL, representation learning, or multimodal models. Ability to go from paper to production prototype quickly. Generous equity in the business An opportunity to join an early-stage start-upGreat opportunity to make a large technological impact on the product and its systems Complex challenges with fast feedback loops Great remuneration package Advanced equipment/technology This position is open to people already eligible for work in South Africa.
#J-18808-Ljbffr
Highlights
-
Company nameMind Detect
-
Job positionMachine Learning Researcher
Safety Tips
Protect your personal details and initiate communication using our contact form.
More info about this ad
Machine Learning Researcher has been posted in the Cape Town Education & Training category on Locanto.
If you’re looking for something similar, check out Online English Tutor (Office Based), Cape Town, Local site based graduate internship - EPC, Cape Town or Teaching Assistant in Cape Town, also posted in Education & Training. Right now, there are 64 classified ads in Education & Training in Cape Town on Locanto.
There are more ads within a 15 km radius for this category. If you want to view those ads, click here.