Applied Research Software Engineer

Sourced from career.io

Apple is hiring an Applied Research Software Engineer to lead end-to-end incubations from early ideation to deployment, applying state-of-the-art ML research, algorithmic innovation, and agentic systems to next-generation intelligent products. The role sits on the pipeline between research and product, spanning on-device implementation, performance optimization, API specification, and model training at scale. This is a hands-on, highly cross-disciplinary position on an interdisciplinary team of researchers and engineers.

• Invent and integrate ideas into compelling research experiments and demos, then drive productization including on-device implementation, performance optimization, API specification, and model architecture and training at scale
• Work cross-functionally to wire up new systems and APIs and resolve tricky bugs, prioritizing deterministic, reproducible, and analyzable execution
• Participate in and lead architecture and design reviews, setting high standards for clarity, reliability, and maintainability
• Design and support data collection systems enabling user studies, annotation and labeling pipelines, and research workflows

• Bachelor's, Master's, or PhD in Computer Science or an adjacent technical field
• 6+ years of engineering experience building and maintaining data-intensive systems, including feature pipelines, training infrastructure, or evaluation frameworks
• Strong proficiency in both Python and C++ with experience in complex, multi-language systems
• Expertise in deep learning frameworks such as PyTorch
• Familiarity with state-of-the-art ML approaches such as VLMs, diffusion models, and RL

• Experience with a specialty discipline such as robotics and machine perception, computer vision, graphics, or simulation
• Interest in contextual, personalized computing and the supporting principles of cognitive science and psychology
• A strong point of view on where human-AI interaction is headed and a drive to build ethical, privacy-centric products
• Experience with real-time or near-real-time systems and deeply integrated architectures spanning local SoCs through cloud compute
• Familiarity with hardware bring-up, data communication protocols, or sensor integration