The student will work on theoretical foundations of deep learning with focus on foundation model and developing theoretical frameworks. They will conduct empirical analysis on understanding abstraction, generalization, and mechanistic interpretability of foundation models and contribute to research paper(s) documenting the output of conducted research.

We are seeking an experienced Data Scientist III to manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring; you will apply advanced techniques in Python programming, machine learning, deep learning, and generative AI to address complex challenges and develop high-impact solutions.

You will lead the research and development of Flock’s multitask deep learning models, decoding information to search against using several deep learning multitask models with a shared backbone and multiple task heads for the computer vision products.

Join our ML team as a Machine Learning Scientist and NLP expert to build state-of-the-art speech and language models. You'll develop deep learning models, innovate in clinical problem-solving, collaborate with technical peers and clinical experts, and integrate machine learning into interdisciplinary solutions.

Drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements. Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements.

Atomi's AI/ML team works to improve student outcomes and empower teachers with actionable AI powered insights. As a Senior Machine Learning Engineer, you'll lead the development of ML systems for student performance modeling and personalized recommendations, ensuring its capability, accuracy, and reliability under increasing production scale.

Drive the design, development, and deployment of advanced AI models, focusing on areas like LLM fine-tuning, multimodal AI, NLP/NLU-based models, AI governance frameworks, and scalability & ML Ops; collaborate with engineering, product, and business teams to integrate AI innovations into Netomi’s offerings.