Software Engineering Program Manager Video Computer Vision (CVMLALGO)

Apples Imaging and Computer Vision team develops cutting-edge algorithms and foundation models that power industry-defining visual spatial and multimodal user experiences. We are seeking an energetic technically minded Software Engineering Program Manager (CV/ML/Algorithms) to partner closely with research scientists and software engineers helping bridge algorithmic research and production software this role you will support the algorithm lifecycle: coordinating exploratory research milestones tracking data collection and curation pipelines organizing model evaluation results and assisting with integration on Apple silicon. The ideal candidate pairs a strong foundation in computer science or machine learning with exceptional organizational skills high curiosity and a drive to solve technical challenges. If you are passionate about computer vision machine learning and bringing cutting-edge technology to life we would love to hear from you!

In this role you will collaborate with research scientists engineers and senior EPMs to support the development and delivery of next-generation visual responsibilities will include:nSupport Delivery u0026 Project Cadence: Track project schedules sprint milestones and deliverables across computer vision and ML algorithm workstreams from early concept to platform Cross-Functional Dependencies: Partner with senior EPMs to track dependencies between research teams system software platform teams and quality assurance to keep critical paths Empirical Evaluation u0026 Benchmarks: Assist scientists and engineers in tracking offline/online evaluation results regression test suites and data collection initiatives to monitor model performance over u0026 Escalate Risks: Monitor timelines track open technical issues and proactively flag data or timeline bottlenecks before they impact Communication u0026 Reporting: Prepare clear meeting summaries status dashboards and project tracking documentation for engineering syncs and team Modern Tooling: Explore and implement AI-assisted tools scripts and programmatic automations to enhance daily program tracking and team efficiency.

Foundational Technical u0026 Algorithmic Acumen: Solid theoretical understanding of Computer Vision and Machine Learning fundamentals (model training evaluation metrics data preprocessing) gained through coursework research internships or industry Organization u0026 Execution: Highly structured mindset with a natural aptitude for tracking moving parts managing checklists and bringing clarity to ambiguous technical u0026 Systems Curiosity: Ability to understand technical trade-offs involving model accuracy runtime performance latency and resource constraints on target -Centric Mindset: Familiarity with data workflows including handling real and synthetic datasets annotation pipelines benchmark tracking and experiment Communication u0026 Organization: Exceptional written and verbal communication skills; ability to distill technical updates track action items and synthesize complex project status clearly for engineering u0026 Initiative: Self-starter who thrives in dynamic fast-paced research environments with the ability to bring structure to ambiguous technical Developer u0026 AI Tooling: Active user of modern developer tools scripting (e.g. Python) automation workflows and generative AI tools to streamline processes.

Bachelors or Masters degree in Computer Science Computer Engineering Data Science Electrical Engineering or a related technical discipline

Hands-on coding experience (Python C or similar) through internships open-source projects or university research experience working directly with Computer Vision Deep Learning frameworks (PyTorch TensorFlow) or data annotation u0026 Execution: 02 years of relevant experience in technical program management software project coordination or hands-on software/algorithm engineering (including internships or academic lab leadership).