Real-Time Vision ML Engineer | Large-Scale Data Systems

Apple; Sunnyvale (CA); On-site; USD 181,000 - 318,000; Full time

Benefits offered by this job

Stock options plan

Discretionary bonuses

Relocation assistance

Medical & dental coverage

Tuition reimbursement

Job summary

Apple is seeking a Machine Learning Engineer specializing in computer vision to design and deploy large-scale data processing workflows and production-ready ML models. You will build, evaluate, and optimize vision systems for real-time sensing and data intelligence, collaborating across engineering, research, and data teams.

You will prototype models, conduct large experiments, ensure data quality, and integrate algorithms into production systems, with exposure to LLM-based agents and

Qualifications

• Strong foundation in computer vision with DL-based models (detection, segmentation, 3D vision, etc).
• Experience with PyTorch or TensorFlow.
• Experience building large-scale data pipelines (distributed ETL, data generation, validation).
• Proficiency in Python or C++ for algorithm development.
• Experience with distributed computing frameworks (Spark, Ray).

Responsibilities

• Design, build, and maintain large-scale data processing workflows.
• Develop and optimize computer vision models powering core product experiences.
• Collaborate with engineering, research, and data teams to translate requirements.
• Prototype models, run large-scale experiments, improve data quality, production integration.
• Explore LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning for workflows.

Skills

Computer vision

Deep learning models

Python

C++

Distributed data pipelines

PyTorch

TensorFlow

Spark

Ray

Education

PhD in CV/ML (preferred)

Tools

PyTorch

TensorFlow

Spark

Ray

Job description

Apple is seeking a Machine Learning Engineer specializing in computer vision to design and deploy large-scale data processing workflows and production-ready ML models. You will build, evaluate, and optimize vision systems for real-time sensing and data intelligence, collaborating across engineering, research, and data teams.

You will prototype models, conduct large experiments, ensure data quality, and integrate algorithms into production systems, with exposure to LLM-based agents and