below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$200,437–$254,750
— the blue band above.
At the midpoint, this role pays about
$242k
versus about
$228k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Senior Machine Learning Engineer, Core Data & Intelligence joins the Apple Services Engineering team to design and craft the AI/ML foundation for products like the App Store and Apple Music. This role involves researching and developing state-of-the-art solutions to train, deploy, and monitor models while ensuring systems remain secure, private, and highly scalable. You will act as a technical leader, participating in design reviews, mentoring junior engineers, and building robust infrastructure. Key requirements include proficiency in Python, Java, or Scala, and expertise in frameworks such as PyTorch, TensorFlow, and JAX. You must possess experience with distributed data processing technologies like Ray and Spark to solve complex problems at the intersection of large-scale data processing and user privacy.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 69 postings across 15 companies.
Research and develop state-of-the-art AI/ML solutions and tools for training, deploying, and monitoring models.
Design secure, private, and highly performant systems that protect user privacy at a global scale.
Build and maintain large-scale ML infrastructure including services, pipelines, and deployment tooling.
Lead technical design discussions and provide constructive feedback on system architecture.
Mentor junior engineers and drive critical initiatives from initial concept to production.
Conduct rigorous code reviews and implement robust test automation to ensure system resilience.
Utilize distributed data processing technologies like Ray or Spark to handle large-scale data.
Leverage Generative AI and LLM assistants to improve the software development lifecycle.
What we're looking for
PhD or Master’s degree in Machine Learning, Computer Science, Computer Engineering, or equivalent practical experience.
5 to 7+ years of professional software engineering experience with a strong focus on AI/ML engineering.
Expert proficiency in Python and/or Java/Scala with deep understanding of data structures, algorithms, and system design.
Solid understanding of traditional machine learning algorithms and cutting-edge genAI technologies.
Hands-on experience with modern AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
Proven experience with large-scale distributed data processing technologies such as Ray or Spark.
Experience developing and maintaining large-scale ML infrastructure, services, pipelines, and deployment tooling like Kubernetes or MLflow (preferred).
Proven proficiency in leveraging advanced Generative AI and LLM assistants across the software development lifecycle (preferred).