Role overview
*Senior Machine Learning Engineer
Location:**
New York City, NYC, San Diego, CA (onsite 2-3 days)
We are unable to sponsor at this time.
New opening for a Machine Learning Engineer to lead a growing team within digital, gaming and streaming media. The team is creative with machine learning, predictive modeling, and deep learning. You will report to the Director of Data Science and Machine Learning.
Summary:
- You will be part of a world-class ML/AI team, developing machine learning, Generative AI models, LLMs for product teams. Working cross-functionally to turn business challenges into AI-driven solutions.
- Develop advanced AI/LLM data driven pipelines to fuel our analytics platform.
- Build and scale our retrieval-augmented generation (RAG) system that delivers analytic insights and automation to our product teams.
- Create and apply advanced machine learning and deep learning solutions to extract insights from diverse structured and unstructured data sources.
- Analyze business use cases and identify areas where AI models may have predictive limitations or biases.
- Design, train and optimize neural networks, within frameworks; TensorFlow and PyTorch.
- Master’s in Mathematics, Computer Science, Statistics, Engineering or similar degree (PhD preferred but not required)
Target Total Compensation: $300,000 - $425,000, including a fixed annual salary of $200,000 - $255,000, employee equity grant, and full employee benefits.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Machine Learning Deep Learning Data Science Generative Ai Pytorch Tensorflow