Staff Applied Scientist (Machine Learning) - Deep Abacus

Overview

Join 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 Do

• Design 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 Succeed

• An 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.