Machine Learning Engineer – Computer Vision & Data Systems

Apple; Sunnyvale (CA); Sur place; USD 181 000 - 318 000; Plein temps

Avantages offerts par ce poste

Stock options plan

Discretionary bonuses

Relocation assistance

Medical & dental coverage

Tuition reimbursement

Résumé du poste

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).

Responsabilités

• 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.

Connaissances

Computer vision

Deep learning models

Python

C++

Distributed data pipelines

PyTorch

TensorFlow

Spark

Ray

Formation

PhD in CV/ML (preferred)

Outils

PyTorch

TensorFlow

Spark

Ray

Description du poste

Summary

SummaryAt Apple, we are dedicated to creating technologies that enrich people's lives. Our teams develop products and experiences that empower millions of users globally, by combining world-class engineering with a deep commitment to innovation, quality, and privacy.We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions

Description

As a Machine Learning Engineer, you will: Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities. Develop and optimize computer vision models that power core product experiences, including areas such as image understanding, multi-view geometry, 3D reconstruction, and visual recognition. Partner closely with engineering, research, and data teams to translate product requirements into technical solutions. This includes prototyping models, running large-scale experiments, improving data quality, and ensuring seamless integration of algorithms into production systems. Explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations.

Minimum Qualifications

• Strong foundation in computer vision, including experience with deep learning–based vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning.
• Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow.
• Experience building or optimizing large-scale data pipelines (e.g., distributed ETL, dataset generation, annotation workflows, data validation, or high-throughput processing).
• Proficiency in Python or C++ for algorithm development and data processing.
• Experience working with distributed computing frameworks (e.g., Spark, Ray, or equivalent).

Preferred Qualifications

• PhD in a relevant field with research directly related to computer vision, large-scale data systems, or multimodal learning.
• Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning workflows.
• Familiarity with prompt engineering, tool-use patterns, and LLM model behavior.
• Experience deploying ML models at scale, including monitoring, evaluation, and continuous improvement.
• Knowledge of data quality assessment, dataset curation methodologies, and evaluation frameworks.
• Experience with GPU-based optimization, large-batch training, or distributed training.
• Strong multi-functional collaboration skills and the ability to lead technical initiatives.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.