AI Research Scientist

Apple; Cupertino (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

An established industry player is seeking a passionate AI Research Scientist to innovate in the realm of geospatial intelligence. This role involves applying cutting-edge deep learning techniques to solve complex real-world challenges and enhance mapping solutions. Collaborating with a dynamic team, you will lead research initiatives that push the boundaries of AI, ensuring the development of user-centric systems. If you are driven by technology and eager to make a global impact, this opportunity is perfect for you.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement

Discounted products

Free services

Discretionary bonuses

Qualifications

• Experience in developing and deploying LLMs and VLMs.
• Strong background in machine learning and deep learning techniques.

Responsibilities

• Lead applied research projects in geospatial intelligence.
• Design and develop advanced machine learning models.

Skills

Machine Learning

Deep Learning

Computer Vision

Python

Generative AI

Problem Solving

Collaboration

Education

MS in Computer Science

PhD in AI or ML

Tools

PyTorch

TensorFlow

JAX

Job description

AI Research Scientist

**Cupertino, California, United States**

**Software and Services**

**Summary**

Posted: **Apr 29, 2025**

Weekly Hours: **40**

Role Number: **200602142**

Apple Maps is seeking a passionate AI research scientist to help shape the future of geospatial intelligence and revolutionize how the changing world is understood, modeled and experienced.

As part of our AI research team, you will research and apply cutting-edge deep learning and generative AI technologies to create next-generation mapping solutions, solving challenging, real-world problems with massive global impact.

This role is pivotal in advancing Apple’s geospatial capabilities, enabling smarter, more responsive mapping systems that can adapt to the dynamic nature of the world!

**Description**

In this role, you’ll work on some of the most challenging problems at the intersection of deep learning, computer vision, LLM, Foundation Models, Agentic AI, and geospatial data. You’ll collaborate with a cross-functional team of engineers, ML scientists, and map specialists to build AI systems that understand the world at scale.

You Will:

- Lead and contribute to applied research projects that push the boundaries of AI applied to geospatial intelligence.

- Design and develop advanced machine learning and deep learning models to understand large scale complex geospatial data and perform geospatial reasoning.

- Experiment with intelligence systems capable of interpreting and updating maps autonomously.

- Collaborate with engineering and map specialists to translate prototypes into scalable systems with highly user-centric UI implementations.

- Stay on top of the latest advancements in AI/ML and contribute to our technical vision and strategy.

- Advocate for responsible AI practices ensuring ethical solutions in alignment

**Minimum Qualifications**

+ MS with comparable industry experience in computer science, Artificial Intelligence, Machine Learning or related field.

+ Strong theoretical and practical background in machine learning, deep learning, and computer vision.

+ Proven experience in developing, fine-tuning and deploying LLMs, VLMs, or other Generative AI models.

+ Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.

+ Demonstrated problem solving skills to translate complex real-world problems into machine learning tasks and develop practical, scalable solutions.

+ Strong interpersonal collaboration and communication skills.

**Preferred Qualifications**

+ PhD in computer science, Artificial Intelligence, Machine Learning or related field.

+ Track record of patents, or publications in top AI/ML or GIS conferences or journals.

+ Hands-on experience with processing large datasets, training ML models in distributed environments, and deploying large-scale models in production.

+ Familiarity with emerging technologies such as Mixture of Experts (MoE) architectures, AI agents, and Retrieval-Augmented Generation (RAG).

+ Understanding of post-training strategies like RLHF, DPO, or equivalent approaches.

**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 $175,800 and $312,200, 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) .

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) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.