Staff Applied Scientist, UI Control Models

Apple • Cupertino, CA

22d

About The Position

Join us at the forefront of redefining how people interact with their devices. On the Siri team we’re solving the challenge of building and shipping powerful LLMs that shape the way millions of Apple customers get things done every day. As a Staff Applied Scientist, you will craft the future of UI Control by developing powerful yet compact LLMs that bring personalized, private, and low-latency experiences to users. This is a high-impact role for a hands-on applied scientist who thrives at the intersection of cutting-edge AI development and product delivery.

Requirements

• Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience
• 7+ years of hands-on industry experience and a proven track record of shipping ML-powered products or features, ideally involving LLMs.
• Extensive experience with the ML development loop, with expertise in model architectures, data curation, training policies and evaluation.
• Deep expertise in LLM/VLM post-training methods, including supervised fine-tuning, and reinforcement learning.
• Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or TensorFlow).
• Excellent communication: strong interpersonal, verbal and written skills.

Nice To Haves

• Experience developing AI agents capable of complex reasoning, planning, tool use and UI control in diverse environments.
• Experience developing small LLMs for constrained or edge devices.
• Experience building thoughtful benchmarks and environments to evaluate UI control agents.
• Deep understanding of model efficiency and deployment trade-offs in production environments.
• Experience with multi-modal foundation models.
• Experience developing ML systems for natural language understanding or digital assistants.

Responsibilities

• Drive the design, development and delivery of large language models that power the core of Siri.
• Lead research and engineering efforts in model post-training techniques that create powerful UI control, tool calling and compelling conversational models that run within the constraints of mobile hardware.
• Collaborate closely with researchers, software engineers and product teams to move innovations from prototype to production.
• Identify and apply post-training techniques.
• Advance model efficiency.
• Contribute to the end-to-end model lifecycle process.
• Set technical directions for the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior