AI Researcher Jobs
AI Researcher jobs are open across technology, healthcare, finance, and defense, from new-grad to principal and staff scientist levels, with common 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 791+ AI Researcher Jobs
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Find AI Researcher JobsAI Researcher Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple53
- Scale AI50
- Meta41
- Microsoft39
- ByteDance32
Top Industries Hiring
- Technology & Software341
- Artificial Intelligence117
- Electronics & Hardware85
- Science & Research85
- Education70
What Employers Look For
The qualifications that appear most often in AI researcher jobs.
- PhD or master's degree in machine learning, computer science, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale machine learning experiments
- Peer-reviewed publications at top-tier conferences such as NeurIPS, ICML, or ICLR
- Strong mathematical foundations in linear algebra, probability, and optimization
- Ability to communicate research findings clearly to both technical and non-technical stakeholders
Tips for Your AI Researcher Job Search
Tailor your resume to research depth
Hiring managers for ai researcher roles scan for publication count, conference venues, and benchmark results before they read your summary. List every peer-reviewed paper, preprint, or workshop contribution with the venue name and year, and call out any state-of-the-art results by metric.
Show working code alongside your publications
Many ai researcher panels expect a GitHub profile with clean, reproducible experiment code. If your published work lives behind a closed repo, port a representative experiment into a public notebook before you start applying so reviewers can verify your implementation skills independently.
Apply early to roles that fit
Migrate Mate lists ai researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by research agenda
Job titles like 'research scientist' and 'applied researcher' can mean very different things depending on whether the team publishes externally or ships models directly to products. Read the publications section of a team's page before applying so your cover letter names their actual research direction.
Prep a research talk, not just answers
Most ai researcher final rounds include a 45-minute research presentation to the full team. Practice presenting your best paper to a non-specialist audience, because interviewers will probe your ability to explain tradeoffs and limitations, not just results.
Negotiate compute and publication rights early
Before you accept an offer, confirm the team's publication approval process and your access to GPU clusters or cloud compute budgets. These terms affect your ability to do competitive research and are far easier to negotiate before you sign than after.
AI Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most ai researchers?
The companies hiring the most ai researchers right now include Apple, Scale AI, 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. Demand is concentrated in organizations running large-scale model development programs alongside applied product teams.
How many ai researcher jobs are remote?
About 16% of ai researcher openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible research roles in tech. Sub-areas focused on theoretical work, natural language processing, and independent research tend to offer the highest share of remote arrangements, while roles that require direct access to proprietary hardware or lab infrastructure are more likely to be on-site.
How do you become an ai researcher?
Most ai researchers start by completing a graduate degree in machine learning, statistics, or computer science, then build a publication record through thesis work, internships, or independent projects. Contributing to open-source research codebases, presenting at workshops, and posting reproducible experiments publicly helps establish credibility before your first full-time role. Many practitioners move into research from applied engineering by returning to graduate school or publishing alongside their day job.
Can you get an ai researcher job with little or no experience?
Entry-level ai researcher roles do exist, but they almost always require a strong graduate research background even when professional experience is limited. The most effective path is to complete a research internship during your degree, co-author at least one published or arxiv-posted paper, and build a public codebase that demonstrates you can run rigorous experiments end to end. Some teams also hire exceptional candidates directly from undergraduate programs if their independent research output is competitive.
What does the ai researcher interview process look like?
A typical ai researcher interview process runs from an initial recruiter screen to a technical phone interview covering machine learning fundamentals, then a take-home research problem or coding assessment, and finally an on-site or virtual loop that includes a research presentation, deep-dive conversations with team members on your past work, and a system design or experiment design discussion. Some organizations also include a separate meet-the-team session before extending an offer.
Where can I find and apply to ai researcher jobs?
You can find and apply to ai researcher jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your background and research focus, then apply directly to each one that fits.
See All 791+ AI Researcher Jobs
Jump back to the full list of openings and apply to any AI researcher role that fits.
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