AI Research Intern focusing on advancing deep learning techniques in financial products at TD. Collaborating on large - scale datasets and representing the team at ML conferences.
About the role
- Senior AI Scientist enhancing video and multimodal AI models for Eluvio AI Labs. Developing state-of-the-art models and impacting decentralized content AI and monetization.
Responsibilities
- Research and develop advanced Video foundation models on topics like, video understanding and generation, multi modal search and recommendation, content processing optimization, scalable routing, pricing advertising, audience analysis.
- Develop production-grade ML models and integrate into the Eluvio AI stack.
- Generate IP/Publish research in top AI conferences, and represent Eluvio AI Labs at academic and industry R&D conferences, competitions, symposiums.
Requirements
- Masters or PhD in Computer Science or related fields (ECE / Statistics / Math / Physics).
- Minimum 3 years (post PhD) or 5 years (post MS) of working experience as a machine learning engineer.
- Demonstrated ability to build, verify, and deploy state-of-the-art task-specific ML models.
- Deep knowledge of machine/deep learning algorithms (e.g., Transformer/VLM/LLM, CNNs, residual networks, GAN, clustering, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Scikit-learn, Jax).
- Excellent experience in deployment of machine learning models in production environments, particularly in video/media-focused applications.
- Excellent communication skills and ability to collaborate effectively within interdisciplinary teams, managing priorities, and delivering high-quality results in a fast-paced environment.
- Strong technical expertise in system design and software development. Proficiency in both high-level languages (e.g. Python, JavaScript, Bash) and system programming languages (e.g., C/C++/Go/Rust).
- Demonstrated knowledge in API design and implementation for model inference services, ensuring scalable, reliable, and efficient integration of machine learning models into production systems.
- Deep knowledge and experience in statistical data analysis and strong skills in managing and processing large-scale data sets, particularly in media. Knowledge of CockroachDB, Firebase DB, and other stores for large-scale data sets.
Benefits
- Medical, dental, and vision insurance.
- Employee stock equity program
- Opportunity to work in the leading company in Decentralized Content AI, Distribution, and Monetization with an amazing team of experts and to impact the world with your innovation.
Job title
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Experience level
Salary
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