Applied Machine Learning Researcher

Job Description

Join Q’s CTO Research Team, where we push the boundaries of machine learning to build intelligent systems that interact, reason, and communicate with humans like humans. We're looking for a visionary Applied Machine Learning Researchers with hands-on experience in computer vision, representation learning, time series, physics-based simulations, speech recognition, and advanced reasoning systems. This is not your average ML role — this is where bleeding-edge research meets proprietary data, practical implementation, and the opportunity to shape the future of how machines understand human behavior. In this role you will bridge the gap between theory and practice to work closely with researchers, and engineers to design and develop SOTA machine learning algorithms for human communication.

Responsibilities

• Explore and implement SOTA methods in computer vision, time series modeling, reinforcement learning, and physics-informed ML.
• Design experiments, play with unique data, and uncover patterns no one else is seeing.
• Build ML systems that explain, predict, or simulate biological and physical systems.
• Collaborate with biologists, physicists, and engineers who are just as obsessed as you are.
• Push prototypes into production—yes, we make it real.

Requirements

• MSc or PhD in Computer Science, Engineering, or a related field.
• Hands-on experience in research and familiar with SOTA, bonus if you've published paper(s)
• Have grounding in algorithms, data structures, and mathematical thinking. 

​​Nice to have

• Experience in a research lab environment or a startup
• You love BIG data and find joy in making things work
• You love taking ownership and navigating ambiguity with creativity.
• You bring positive energy to the table and enjoy learning with others.