Software Engineering Program Manager - Video Computer Vision (CV/ML/ALGO)

Summary

Apple’s 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 delivery.

In 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!

Description

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

Responsibilities

• Foundational Technical & 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 experience.
• Exceptional Organization & Execution: Highly structured mindset with a natural aptitude for tracking moving parts, managing checklists, and bringing clarity to ambiguous technical environments.
• Analytical & Systems Curiosity: Ability to understand technical trade-offs involving model accuracy, runtime performance, latency, and resource constraints on target hardware.
• Data-Centric Mindset: Familiarity with data workflows, including handling real and synthetic datasets, annotation pipelines, benchmark tracking, and experiment reporting.
• Clear Communication & Organization: Exceptional written and verbal communication skills; ability to distill technical updates, track action items, and synthesize complex project status clearly for engineering teams.
• Adaptability & Initiative: Self-starter who thrives in dynamic, fast-paced research environments with the ability to bring structure to ambiguous technical challenges.
• Modern Developer & AI Tooling: Active user of modern developer tools, scripting (e.g., Python), automation workflows, and generative AI tools to streamline processes.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or a related technical discipline

Preferred Qualifications

• Hands-on coding experience (Python, C++, or similar) through internships, open-source projects, or university research labs.
• Prior experience working directly with Computer Vision, Deep Learning frameworks (PyTorch, TensorFlow), or data annotation pipelines.
• Experience & Execution: 0–2 years of relevant experience in technical program management, software project coordination, or hands-on software/algorithm engineering (including internships or academic lab leadership).