
Sr Machine Learning Engineer, ML Systems Engineering - Proactive
Pittsburgh, PAFull-timeSeen 1w agoSeen in employer's feed 1w ago
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At a glance
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Job overview
Apple’s Proactive Intelligence team builds machine learning and agentic AI systems for personalized experiences across Apple devices. The role focuses on designing, implementing, and evaluating production machine learning systems using multimodal inputs, planning experiments, and debugging and optimizing agentic applications. Engineers also ship software, establish automated evaluation and monitoring processes, and develop tools and techniques for Apple Intelligence.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200691141-2926
Summary
Apple products combine exceptional hardware and incredible software to surprise and delight our customers. The Proactive Intelligence team uses machine learning and agentic AI to deliver personalized user experiences as part of Apple Intelligence. We are seeking extraordinary machine learning engineers with a strong software engineering background to join our team. This is your opportunity to work on the most exciting new technologies to make Apple Intelligence more capable for millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!
Description
We need curious and creative engineers with experience shipping machine learning and agentic systems, together with a proven track record of outstanding software engineering abilities. You should have experience designing, implementing, and evaluating data and machine learning systems on multimodal inputs for production systems. You should be able to plan and conduct experiments and to debug and optimize agentic machine learning applications. You will need to be willing to ask questions, be eager to teach and learn together, and share our belief that we can surprise and delight our customers with personalized intelligent experiences in all of Apple’s products. Join us to benefit the lives of hundreds of millions of people around the world! As a member of our team, you will ship amazing software that our customers depend on every day; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Join the Proactive Intelligence team to create the future of intelligent experiences across our entire lineup of devices.
Minimum Qualifications
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4+ years of experience building production machine learning systems
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MS in Computer Science or equivalent practical experience
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Proficiency in Python programming
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Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust
Preferred Qualifications
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Production experience with training, deploying, and evaluating autonomous agentic systems
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Production experience working with ML pipelines and large datasets
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Experience in resource constrained computing (e.g., embedded systems or mobile development)
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Proficient at using AI agent assistance effectively as part of software development workflows
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.
How this job compares
Set against the 6,265 open Machine Learning Engineer jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This postingNot listed
- Pennsylvania median$123–232K/yr93 salary ranges
- US median$31–76/hr134 hourly ranges
- Openings
- Olive Jobs lists 124 open Machine Learning Engineer jobs in Pennsylvania and 6,265 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,090 postings).
- Education
- 2,545 of the 6,265 open Machine Learning Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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