About the role

What will you do at Apple?

Our team leverages state-of-the-art AI to better understand and communicate with

users via semantic and contextual intent understanding. We are looking for a

Robotics AI Engineer to bring frontier reasoning and multimodal models to life

in real-time, interactive experiences.

DESCRIPTION

In this role, you will

translate natural user intents into robust, adaptive
behaviors. You will work across the full stack of applied AI/ML: prompting and
evaluating frontier models, distilling them into efficient on-device models, and
deploying them on Apple silicon. A successful candidate is energized by rapidly
experimenting with the latest AI models, tools, and agent harnesses, and has a
strong foundation in modern machine learning with hands-on experience training
and fine-tuning their own models. Above all, this is a deeply product-driven
team that values engineers who have shipped real products and are motivated by
putting great experiences into users' hands.
MINIMUM QUALIFICATIONS
BS or MS in Computer Science or Machine Learning Strong background in and deep
understanding of modern machine learning methods Experience training or
fine-tuning your own transformer and/or diffusion models Proficiency using
coding agents such as Claude Code and Codex Genuine excitement for experimenting
with the latest AI models, tools, and multimodal capabilities
PREFERRED QUALIFICATIONS
PhD in Computer Science, Machine Learning, or a related field Experience with
model fine-tuning and distillation for efficient, on-device deployment Hands-on
experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
Experience building agent harnesses for multi-step, closed-loop reasoning Track
record of shipping products to users Proficiency in Python and ML frameworks
(PyTorch or TensorFlow)

Which skills does this role require?

RoboticsTransformer ModelsDiffusion ModelsModel DistillationMultimodal ModelsArtificial IntelligenceTransformerApple SiliconClaude CodeCodexMultimodalProduct DevelopmentSemantic UnderstandingContextual IntentApplied AI

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