Sr. Computer Vision and Machine Learning Engineer, Creativity Apps
Cupertino, CAJobSeen 1w agoSeen in employer's feed 5 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Cupertino, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
Apple’s Creativity Apps team is developing next-generation creative editing tools and agentic features for its creative applications. The Computer Vision and Machine Learning Engineer will work with creatives, designers, and engineers to design and develop these features. The ideal candidate combines strong foundations in agentic workflows with hands-on experience building, evaluating, and deploying complex user-facing systems, and collaborates effectively across the organization.
Skills & qualifications
Skills
Qualifications
Full job description
Role Number: 200691415-0836
Summary
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.
As a Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!
Description
The ideal candidate combines strong foundations in agentic workflows with hands-on experience building, evaluating, and deploying complex user-facing systems. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. You will contribute to the design and development of next-generation agentic features for Apple’s creative applications.
Minimum Qualifications
-
MS in Computer Science, Machine Learning, or a related field, and 4+ years of industry experience delivering products in generative AI, machine learning, or computer vision.
-
Strong theoretical and practical knowledge of machine learning and deep learning.
-
Experience building and evaluating LLM/VLM-powered agents, including tool use, multi-step reasoning, planning, and context management.
-
Hands-on experience building, training, and deploying transformer-based vision models, GANs, or related methods.
-
Strong programming skills in Python and/or C++ and a deep learning framework such as PyTorch, JAX, or TensorFlow.
-
Creative problem solver with strong communication and collaboration skills.
-
Committed to encouraging an open and inclusive work environment.
Preferred Qualifications
-
PhD in Computer Science, Machine Learning, or a related field.
-
Experience deploying agentic systems to production, including work on AI reliability, safety, or benchmarking.
-
Experience fine-tuning LLMs or training adapters for foundation models.
-
Experience optimizing models for resource-constrained platforms, ideally with Core ML, Swift, and iOS/macOS.
-
Strong patent and publication record at top conferences.
-
Keen interest in the art and science of photography.
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 6,178 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- California median$177–262K/yr1,422 salary ranges
- California median$53–70/hr34 hourly ranges
- Openings
- Olive Jobs lists 1,894 open Machine Learning Engineer jobs in California and 6,178 across the US. 8% 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 (4,875 postings).
- Education
- This posting asks for a master's degree; 459 of the 6,178 open Machine Learning Engineer jobs (7%) ask for a master's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 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.
Prepare for this role
You've read the whole posting — now see how you match it.
