Applied AI Scientist Jobs
Applied AI Scientist jobs are open across technology, healthcare, financial services, and defense, from new-grad to principal and staff levels, with specializations in large language models, reinforcement learning, and applied machine learning research. See the openings below and apply to the ones that match your experience.
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SUMMARY
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.
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.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
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.
COMPENSATION
- Base pay range for this role is between $205,400 and $308,500, 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.
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.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
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.
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.
- MS in Computer Science, Computer Vision, Machine Learning, or related technical field, and a minimum of 6 years relevant experience.
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.
COMPENSATION
- Base pay range for this role is between $205,400 and $308,500, 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.
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.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
Applied AI Scientist Jobs by Experience Level
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Find Applied AI Scientist JobsApplied AI Scientist Job Market
Who's Hiring
- Amazon23
- Amazon Web Services12
- Apple6
- JPMorganChase4
- Information Technology Senior Management Forum4
Top Industries Hiring
- Technology & Software
- Fintech
- Electronics & Hardware
- Distribution & Wholesale
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in applied AI scientist jobs.
- PhD or Master's degree in machine learning, computer science, or a related quantitative field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience with large language models, fine-tuning, or retrieval-augmented generation systems
- Familiarity with cloud ML infrastructure on AWS, Google Cloud, or Azure
- Ability to collaborate with product and engineering teams to translate business problems into modeling solutions
Tips for Your Applied AI Scientist Job Search
Tailor your resume to deployment depth
Hiring managers for applied ai scientist roles want to see models you shipped to production, not just research you ran. Lead each bullet with the system impact, latency improvements, accuracy gains, or scale, rather than the technique you used.
Distinguish applied research from pure research
Many postings separate applied ai scientist from research scientist. If a role lists product teams, inference pipelines, or platform integration, that signals applied work. Target those explicitly and reflect the production framing in your cover letter.
Apply early to roles that fit
Migrate Mate lists applied ai scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
Applied ai scientist interviews frequently include a live system design round covering model selection, data pipelines, and serving infrastructure. Practice walking through a past project end to end, including the tradeoffs you made and what you would change now.
Highlight cross-functional collaboration on your resume
Employers want applied ai scientists who work closely with product, engineering, and data teams. Call out specific instances where you translated a business requirement into a modeling problem or unblocked an engineering team on a deployment constraint.
Negotiate scope alongside compensation
When you receive an offer, ask which product areas the role owns and how model decisions get prioritized. Applied ai scientist impact varies sharply by team structure, so scope and autonomy often matter as much as the initial compensation package.
Applied AI Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most applied ai scientists?
Amazon, Amazon Web Services, and Apple are hiring the most applied ai scientists right now, with openings concentrated in California, Washington, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at companies building or scaling foundation model products and enterprise AI platforms.
How many applied ai scientist jobs are remote?
About 76% of applied ai scientist openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for this role. Sub-areas like natural language processing research and model evaluation tend to be the most remote-friendly, while roles tied to on-device or hardware-adjacent inference often require on-site presence.
How do you become an applied ai scientist?
Most applied ai scientists build a foundation through a graduate degree in machine learning, statistics, or computer science, then develop practical experience by contributing to open-source projects, publishing applied research, or completing industry internships. Building a portfolio of end-to-end projects that demonstrate model development through deployment is more persuasive to hiring teams than coursework alone.
Can you get hired as an applied ai scientist with little experience?
Yes, entry-level applied ai scientist roles exist, particularly at companies building new AI teams or expanding ML platforms. The strongest candidates with limited experience focus on demonstrating a completed project where they owned the full pipeline from data preparation through evaluation. Contributing to open-source ML tooling and presenting work at community meetups or workshops helps fill the gap left by a short work history.
What does the applied ai scientist interview process look like?
The process typically includes a recruiter screen, a technical phone interview covering machine learning fundamentals and coding, a take-home or live modeling exercise, and a full-day virtual or on-site loop with rounds for system design, ML depth, and cross-functional collaboration. Some companies add a research presentation where you walk through a past project in detail, including the decisions you made and their outcomes.
Where can I find and apply to applied ai scientist jobs?
You can find and apply to applied ai scientist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level and specialization, then apply directly to each listing that fits.
See All 86 Applied AI Scientist Jobs
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