AI Research Scientist Jobs
AI Research Scientist jobs are open across technology, healthcare, finance, and defense, from entry-level research roles to principal and distinguished scientist positions, with specializations in natural language processing, computer vision, and reinforcement learning. Find a role that fits from the openings below and apply directly.
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Job Details
The Opportunity
For nearly a decade, Intel's Neuromorphic Computing Lab - together with a global ecosystem of 250+ research groups - has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate its promise. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview
Demonstrate the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems for the era of physical AI with groundbreaking performance and efficiency. This is a fixed-term opportunity lasting approximately 12 months, with the potential for extension subject to the approval of both parties.
Responsibilities
- Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
- Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
- Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
- Present findings internally and to collaborators.
About The Organization
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.
MINIMUM QUALIFICATIONS
- Enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
- 1+ years of experience writing clean, efficient and modular Python and C++ code.
- 1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
- 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
- 1+ peer-reviewed publications.
PREFERRED QUALIFICATIONS
- Experience with edge AI HW accelerators or event-based sensors.
- Exposure to neuroscience and neurobiology-inspired algorithms.
- Experience in developing software for robotics or other real-time control systems.
- Experience with profiling and benchmarking algorithms and hardware architectures.
- Strong problem-solving and communication skills.
Job Type
Intel Contract Employee
Shift
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business Group
The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $52,000.00 - $200,000.00
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Details
The Opportunity
For nearly a decade, Intel's Neuromorphic Computing Lab - together with a global ecosystem of 250+ research groups - has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate its promise. Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems - beyond the reach of GPUs and mainstream AI accelerators. If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us. Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
Position Overview
Demonstrate the value of Intel's neuromorphic technologies by developing, implementing, and benchmarking algorithms for Intel's next-generation neuromorphic architecture to enable applications in edge computing, signal processing, and autonomous systems for the era of physical AI with groundbreaking performance and efficiency. This is a fixed-term opportunity lasting approximately 12 months, with the potential for extension subject to the approval of both parties.
Responsibilities
- Support the development and optimization of advanced AI algorithms and signal processing applications for edge platforms powered by Intel's next-generation neuromorphic architecture.
- Evaluate and benchmark signal processing algorithms on current and next-generation neuromorphic hardware.
- Validate Intel's neuromorphic SDK by running real-world signal processing workloads, gathering metrics, and proposing targeted software enhancements to the core development team.
- Present findings internally and to collaborators.
About The Organization
As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to market. Our diverse team of engineers and researchers has pioneered sparse, event-based, neuromorphic architecture over multiple generations and is now focused on commercializing the technology in future Intel and partner products.
MINIMUM QUALIFICATIONS
- Enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
- 1+ years of experience writing clean, efficient and modular Python and C++ code.
- 1+ years of experience developing AI models for signal processing, perception, reasoning, and control.
- 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
- 1+ peer-reviewed publications.
PREFERRED QUALIFICATIONS
- Experience with edge AI HW accelerators or event-based sensors.
- Exposure to neuroscience and neurobiology-inspired algorithms.
- Experience in developing software for robotics or other real-time control systems.
- Experience with profiling and benchmarking algorithms and hardware architectures.
- Strong problem-solving and communication skills.
Job Type
Intel Contract Employee
Shift
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business Group
The mission of the Corporate Technology Office (CTO) is to incubate and develop strategically important emerging technologies that will serve as building blocks for computing systems and platforms of the future. This is done in collaboration with the business units of Intel, with the goal of transferring these technologies to the business units for productization and revenue generation.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $52,000.00 - $200,000.00
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
- Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION:
Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
See All 265+ AI Research Scientist Jobs
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Find AI Research Scientist JobsAI Research Scientist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Scale AI29
- TikTok25
- Meta23
- ByteDance20
- Apple9
Top Industries Hiring
- Technology & Software135
- Artificial Intelligence39
- Biotechnology & Pharmaceuticals23
- Electronics & Hardware20
- Healthcare & Medical Services17
What Employers Look For
The qualifications that appear most often in AI research scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Publication record in peer-reviewed venues such as NeurIPS, ICML, ICLR, or ACL
- Ability to communicate research findings clearly to both technical and non-technical audiences
- Familiarity with distributed training, cloud compute platforms, and experiment tracking tools
Tips for Your AI Research Scientist Job Search
Lead your resume with publications
Hiring managers for ai research scientist roles scan for peer-reviewed work before anything else. List first-author papers, preprints, and conference proceedings at the top of your resume, ahead of your work history, so reviewers can assess your research output immediately.
Match your specialization to the job description
AI research scientist postings vary widely by domain. A role focused on large language models requires a different portfolio than one in robotics or drug discovery. Tailor your application materials to the specific subdomain listed, not to AI research in general.
Apply early to roles that fit
Migrate Mate lists ai research 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 research talk before interviews
Most ai research scientist interviews include a technical presentation on your prior work. Prepare a 20-minute talk on your strongest project that covers the problem, your methodology, results, and what you would do differently, then practice fielding deep follow-up questions on every choice you made.
Surface your GitHub and model benchmarks
Reproducible results and public code repositories carry real weight when you apply. Link to your GitHub, Hugging Face model cards, or benchmark leaderboard entries directly in your resume or cover letter so reviewers can verify your claims without extra steps.
Negotiate research resources, not just compensation
When you reach the offer stage, ask specifically about compute budget, access to proprietary datasets, publication approval processes, and collaboration with external academics. These conditions affect your ability to do the work and your long-term output as a researcher.
AI Research Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most ai research scientists?
The companies hiring the most ai research scientists right now include Scale AI, TikTok, and Meta, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of June 2026. Roles are concentrated in technology and cloud infrastructure companies, though healthcare and defense organizations are increasingly active in this space.
How many ai research scientist jobs are remote?
About 12% of ai research scientist openings are fully remote or hybrid as of June 2026, making this one of the more location-flexible research roles in the job market. Sub-areas like natural language processing and generative AI tend to offer the highest share of remote positions, while robotics and hardware-adjacent research roles are more likely to require on-site presence.
How do you become an ai research scientist?
Most ai research scientists earn a PhD in machine learning, computer science, or a related quantitative field, building a publication record through graduate research and internships at research labs. You deepen expertise in a specific domain, such as natural language processing or computer vision, contribute to open-source projects or preprint servers, and apply to roles where your published work aligns with the team's active research agenda.
Can you get hired as an ai research scientist with little or no experience?
Breaking in without a traditional research background is hard but possible if you can demonstrate original work. Publishing preprints on platforms like arXiv, contributing meaningfully to open-source AI projects, placing competitively on benchmark leaderboards, or completing a research-focused master's thesis can substitute for formal industry experience when applying to junior or associate research scientist roles.
What does the ai research scientist interview process look like?
The process typically begins with a recruiter screen, followed by a technical phone interview covering machine learning fundamentals and coding. Finalists usually complete a research presentation where they walk through a past project in depth, then face a full interview loop with current researchers that includes whiteboard problem-solving, deep dives into your methodology, and discussions about research direction and scientific judgment.
Where can I find and apply to ai research scientist jobs?
You can find and apply to ai research scientist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
See All 265+ AI Research Scientist Jobs
Jump back to the full list of openings and apply to any AI research scientist role that fits.
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