Machine Learning Engineer, SIML
- Location
- Seattle, WA
- Job type
- Full-time
- Level
- Senior
- Experience
- 2+ years
- Listed
- 28 days ago
Skills & highlights for this role
- diffusion models
- autoregressive models
- PyTorch
Also useful
- TensorFlow
- JAX
- distributed training
Summary
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence.
We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
About the role
We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML fundamentals, experience with applied research, and hands-on knowledge training and adapting large scale image/video/audio/multimodal foundation models. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem.
Minimum Qualifications
- M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
- 2+ years of experience working on training and fine-tuning modern image / video generation models
- Experience working in an academic or industrial research environment
- Proficient in an ML framework such as PyTorch, TensorFlow, JAX
- Excellent communication skills and an ability to drive clarity in ambiguous circumstances
Preferred Qualifications
Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues
From Apple's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Machine Learning Engineer, SIML job at Apple located?
This Machine Learning Engineer, SIML position at Apple is located in Seattle, WA. Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer, SIML at Apple?
For the Machine Learning Engineer, SIML role, Apple highlights 2+ years of relevant experience; experience with diffusion models, autoregressive models, PyTorch. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer, SIML position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.