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Applied Ai Scientist Jobs (NOW HIRING)

The role We are looking for a Applied AI Scientist Architect to take product ideas from 0 to 1 and define how we do new AI product innovation. You'll have a lot of independence: you set the technical ...

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Applied Ai Scientist information

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$37.5K

$122.7K

$196.5K

How much do applied ai scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for applied ai scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How much do applied AI scientists pay?

Applied AI scientists typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow may offer higher salaries. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does an applied AI scientist do?

An applied AI scientist develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with large datasets, use programming languages like Python or R, and often collaborate with cross-functional teams to deploy AI solutions in practical applications.

What is the difference between Applied Ai Scientist vs Data Scientist?

AspectApplied Ai ScientistData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with machine learning frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights
Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech industries

Applied Ai Scientists focus on developing and deploying AI models and algorithms, often working closely with engineering teams. Data Scientists analyze and interpret data to generate insights, typically working on statistical modeling and data visualization. While both roles require strong technical skills, Applied Ai Scientists are more specialized in AI and machine learning implementation, whereas Data Scientists focus on data analysis and insights.

More about Applied Ai Scientist jobs
What cities are hiring for Applied Ai Scientist jobs? Cities with the most Applied Ai Scientist job openings:
What states have the most Applied Ai Scientist jobs? States with the most job openings for Applied Ai Scientist jobs include:
What job categories do people searching Applied Ai Scientist jobs look for? The top searched job categories for Applied Ai Scientist jobs are:
Infographic showing various Applied Ai Scientist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Applied AI Scientist - Multimodal Intelligence

Apple

Seattle, WA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 16 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models.
Description
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products.
Preferred Qualifications
PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
Demonstrated expertise in deep learning, with either: A publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV,COLM, etc), or a strong track record of applying deep learning techniques to real-world products.
Experience with foundation models (language or multimodal).
Familiarity with large-scale data pipelines, including data curation, preprocessing, and efficient storage.
Experience fine-tuning or optimizing large models for production deployment.
Experience applying foundation models to build autonomous or semi-autonomous agents, including planning, task decomposition, and multi-step reasoning.
Familiarity with privacy-preserving or on-device machine learning.
Ability to work effectively in a multi-functional, collaborative environment.
Minimum Qualifications
Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.).
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
Experience with rapid prototyping, reproduction, and validation of research ideas.
Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.
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 $142,300 and $263,300, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976