MacPaw is a software company, that develops and distributes software for macOS and iOS. Today, our products have more than 30 million users worldwide.
At MacPaw, we believe humans and technology can reach their greatest potential together.
MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company's culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.
We are dedicated to integrating research and development as a core component of our company's activities. In line with this vision, we are actively expanding our team and are excited about the substantial growth expected in our AI Research department in the coming year.
As a Research Scientist in our AI R&D team, you will be at the forefront of AI research and play a pivotal role in driving research in human-computer interaction (HCI), specifically focusing on understanding macOS apps and their interfaces, using the latest advancements in natural language processing, computer vision, multimodality research.
If you are passionate about AI research and eager to make an impact in the field of HCI within the Apple ecosystem, we would love to hear from you. Join us in shaping the future of technology at MacPaw.
For This Role

• Lead HCI-focused AI research projects from concept to implementation.
• Translate cutting-edge research into innovative solutions for macOS applications.
• Collaborate across teams to integrate AI advancements into MacPaw products.
• Communicate research results to internal and external audiences (scientific conferences).

Skills you'll need to bring:

• Experience in one or more of the following Machine Learning domains: Computer Vision, Natural Language Processing (NLP), Human-Computer Interaction (HCI).
• Strong knowledge of linear algebra, probability theory/statistics, and graph theory.
• Advanced prototyping skills and experience implementing algorithms from academic papers.
• Previous experience publishing academic papers.

As a plus:

• Ph.D. in machine learning, AI, statistics, computer science or related technical fields
• Familiarity with the Apple ecosystem, including iOS/macOS SDK and Core ML.