> Markdown version of [/jobs/ext/1500608-machine-learning-engineer-computer-vision-data-systems](https://www.wearedevelopers.com/jobs/ext/1500608-machine-learning-engineer-computer-vision-data-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer - Computer Vision & Data Systems

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Computer Vision, Big Data, C++ (Programming Language), Data Validation, Extract Transform Load (ETL), Data Systems, Distributed Computing Environment, Data Intelligence, Python (Programming Language), Machine Learning, Tensorflow, DataOps, Data Processing, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Deep Learning, Machine Learning Operations, Data Pipelines
- **Published:** July 30, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3336268374&tx=JT9991TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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)., * 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.

## Description

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., * 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.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)