Apple
Lead Machine Learning Engineer, Human Sensing
$175K–$308K
Seattle, Washington · Full-time · Posted Sep 16, 2026
- Experience
- 6+ years of industry experience in Computer Vision and Machine Learning; Technical Lead or Staff-level experience is required.
- Education
- Master’s or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent practical experience).
About the job
Leads technical strategy and execution for multimodal human-sensing machine learning, including project scope, data strategy, evaluation, model optimization, and cross-team delivery.
What you'll do
- Set project scope, milestones, KPIs, and dataset collection and annotation strategy.
- Lead evaluation frameworks, benchmarking, failure analysis, and model optimization.
- Coordinate cross-functional execution, maintain and review code, communicate strategy, and mentor engineers.
What they ask for
- Master’s or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent practical experience).
- 6+ years of industry experience in Computer Vision and Machine Learning.
- Technical Lead or Staff-level experience driving project scoping, KPIs, and cross-functional technical initiatives.
- Deep proficiency in Python and PyTorch; experience evaluating complex ML systems and conducting failure analysis.
Nice to have
- Domain experience in face recognition, identity re-identification (ReID), biometrics, or visual human sensing.
- Experience with on-device optimization, foundation vision models or VLMs, data collection, or research publications.
Pay
$175,000 and $308,500 (base salary)
Tools
Python, PyTorch, Core ML, Vision-Language Models (VLMs), LLMs
AI focus
Develops and evaluates multimodal human-sensing and perception models, including facial and full-body perception, identity recognition, and on-device model optimization.
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