Staff Applied Scientist (Machine Learning)

OverviewJoin a pioneering AI-driven platform revolutionizing how businesses connect with their customers. Leveraging advanced machine learning, it enables real-time, personalized engagement at scale empowering organizations to optimize workflows and maximize efficiency. The C-suite included seasoned leaders from globally renowned technology companies, bringing deep expertise to a platform that represents the forefront of innovation in real-time, AI-driven decision-making.What They Will DoDesign and improve machine learning models addressing growth and personalization challenges.Develop AI-driven agents to manage dynamic workflows and adapt to evolving requirements.Conduct in-depth analysis of large-scale datasets to extract actionable insights.Enhance model evaluation methods to ensure robust performance.Collaborate across engineering, product, and business teams to align AI solutions with strategic goals.Stay informed on the latest advancements in machine learning through research and networking.What They Will Need to SucceedAn advanced degree (Master's or PhD) in Computer Science, Machine Learning, or a related field.Over 7 years of experience building and deploying machine learning models and production systems.Proficiency with ML frameworks such as TensorFlow, PyTorch, or JAX, and Python data tools.Expertise in areas like large language models, recommender systems, and causal inference.Experience managing cloud-based services and large-scale data processing.A problem-solving mindset, ownership mentality, and willingness to take on challenges beyond their defined role.

Created: 2025-01-07