Apple
Machine Learning Research Engineer
$142K–$263K
Seattle, Washington · Full-time · Posted Oct 30, 2026
- Education
- Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent professional experience in Computer Vision and Machine Learning research and development.
About the job
Develops machine-learning models and visual recognition systems for multimodal human sensing, especially robust cross-domain identity recognition and facial and full-body perception.
What you'll do
- Design, implement, and deploy visual recognition systems and foundation models for facial and full-body perception.
- Curate, validate, and generate datasets; build tools for failure analysis and continuous model improvement.
- Translate product needs into ML research plans and communicate results and recommendations to stakeholders.
What they ask for
- Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent professional experience in Computer Vision and Machine Learning research and development.
- Track record of training, fine-tuning, and evaluating deep-learning models for vision tasks using modern ML architectures.
- Research and innovation demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments.
- Proficient in Python and PyTorch or equivalent deep-learning frameworks.
Nice to have
- Expert-level knowledge of face recognition, facial analysis, or biometric systems.
- Experience with multimodal LLMs or VLMs, on-device ML, model optimization, or production-grade ML pipelines.
Pay
$142,300 and $263,300 USD base salary
Tools
Python, PyTorch, LLMs, VLMs
AI focus
Builds AI/ML models and foundation models for multimodal human sensing, visual recognition, and facial and full-body perception.
Model-written summary · the original posting is authoritative