AI Research Scientist, CoreML - Monetization AI

What you'll do

• Develop scalable model architectures and sequence-learning, generative, graph-aware LLM, AutoML, reinforcement-learning, and causal-learning solutions.
• Improve training scalability, model performance, efficiency, and reliability, including through hardware-software co-design.
• Address data challenges and collaborate across teams to take research ideas into production.

What they ask for

• Bachelor’s degree in a relevant technical field or equivalent practical experience, and a PhD in a relevant technical field.
• Experience in an industry, faculty, or government researcher position.
• Research experience in NLP, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas; publications in a related field.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Nice to have

• First-author publications at peer-reviewed AI conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL.
• Experience taking research ideas to production and evaluating complex problems and tradeoffs.

Pay

$154,000/year to $217,000/year USD base salary; bonus and equity amounts not stated

Tools

Python, PyTorch, RLHF, RL4Reason

AI focus

Research and deployment of AI/ML for monetization, including ranking, retrieval, sequence learning, generative modeling, graph-aware LLMs, AutoML, reinforcement learning, causal learning, and data optimization.