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Urgent! AIML - Research Scientist/Engineer Job Opening In Santa Clara – Now Hiring Apple

AIML Research Scientist/Engineer



Job description

**Role Number:** 200571589-3760

**Summary**
We're seeking research scientists and engineers to create breakthrough innovations
in computer vision, machine learning, robotics, computer graphics, and related areas.
We are particularly interested in photorealistic image synthesis, frontier models
(including large multimodal models), agentic workflows, robotics, and the interface of
AI and science.

You will work in an organization of world-class machine learning
researchers and engineers.

Our work powers cutting-edge technologies across the
Apple ecosystem and is published in the most selective scientific journals and
conferences.

**Description**
We are a team of best-in-the-world research scientists and engineers with deep
experience in computer vision, machine learning, robotics, computer graphics, and
related areas.

We work on exciting new technologies that bring joy to millions of
people.

In our daily work, the team stays innovative, productive, and fun by sharing
some key values:
- Passion for the mission: We’re here to make something extraordinary.

We seek
whatever work is right and strive for the best possible results.
- Modesty: The right answer is more significant than being right.

We search for
solutions as a team and value clear-eyed feedback.
- Lean habits: You can’t grow without limits.

Time constraints and big goals
encourage us to sharpen our focus and learn to make phenomenal decisions.

**Minimum Qualifications**

+ Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
+ • Solid software engineering skills in complex, multi-language systems.

Fluency in Python.
+ • Expertise in ML algorithms and top practices for working with deep learning systems.
+ • Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.).
+ • Strong overall software development approach.

You deliver clean, well-tested code.

**Preferred Qualifications**

+ Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering/Mechanical Engineering or equivalent academic or professional experience.

**Pay & Benefits**
At Apple, base pay is one part of our total compensation package and is determined within a range.

This provides the opportunity to progress as you grow and develop within a role.

The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.

Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Learn more about Apple Benefits.

(https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .



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    Unlock Your AIML Research Potential: Insight & Career Growth Guide


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