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AI Research Scientist/Engineer

Job Description The mission of Intel Labs is to drive technology leadership for Intel. This includes conceiving, researching, prototyping, and coordinating with academic/external partners and Intel business groups to deliver technology innovation for future industry needs. This is full time position with the Emerging Visual-AI Systems Research team at Intel Labs. Our team is driving exciting research to identify innovative technologies and capabilities for future of AI systems, particularly in generative AI and multimodality. We focus on innovating on hardware and software technologies that will transform the AI computing experience across edge/cloud systems.  In this role, your responsibilities will include:  • Investigating, implementing and driving new AI optimization and acceleration techniques within the Intel HW and SW products. This requires a deep understanding of state-of-the-art techniques in AI model optimization (such as quantization, sparsity, etc.), run-time systems, optimized kernels for performance evaluation on HW products, and solid grasp of distributed computing, and computer architecture.• Solid research discipline, hands on prototyping skills, closely work with partners to drive research agenda. The candidate is expected to maintain substantial knowledge of state-of-the-art principles and theories and contribute regularly to scientific literature and the research community-at-large and may participate in the development of Intellectual Property.The ideal candidate should exhibit behavioral traits that indicate:• Excellent interpersonal and communication skills in a cross-functional setting.• Exceptional team player.• Self-driven with meticulous attention to detail in a fast-moving environment.• Proven track record of taking initiative and driving projects to completion with a results-oriented approach.QualificationsYou must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications:• Bachelor’s/BS with 6+ years or master’s degree with 4+ years, or PHD with 2+ years of experience in Electrical Engineering, Computer Engineering, Computer Science, or a relevant engineering discipline.3+ years of experience in below areas:• AI optimizations and acceleration, HPC or run-time optimizations• Computer architecture, accelerator design, quantization, model compression, etc.• Solid foundation in generative AI models, deep learning, hands on experience with AI frameworks (e.g., PyTorch)• Solid publication record at top-tier conferences such as NeurIPS, MLSys, ICLR, AAAI, etc.• Parallel Multithreading programming and concurrency models.Preferred Qualifications:• Experience with distributed computing, AI compilers• Ability to drive early-stage research projects with risks and ambiguityInside this Business GroupIntel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.Other LocationsUS, Santa ClaraPosting StatementAll 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.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.Annual Salary Range for jobs which could be performed in the US $186,552.00-$279,772.00• Salary range dependent on a number of factors including location and experienceWorking ModelThis 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...

Average salary estimate

$233162 / YEARLY (est.)
min
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$186552K
$279772K

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What You Should Know About AI Research Scientist/Engineer, Intel

Join Intel Labs as an AI Research Scientist/Engineer and be part of a team that's at the forefront of advancing technology innovation. Based in Hillsboro, OR, you'll be contributing to pioneering research that shapes the future of AI systems, particularly in the realm of generative AI and multimodality. Your role will involve investigating and implementing cutting-edge AI optimization and acceleration techniques, playing an integral part in both hardware and software product development. You'll not only hone your skills in model optimization and distributed computing but also collaborate closely with partners to drive research agendas. As a self-driven professional with a knack for meticulous attention to detail, your ability to communicate and work effectively in a cross-functional environment will shine. You'll have the exciting opportunity to contribute to scientific literature and influence future projects within the world-class environment of Intel Labs. With a focus on transforming the AI computing experience across edge and cloud systems, your expertise and passion for innovation will be pivotal. If you’re ready to take your career to the next level and make a substantial impact in AI research, this role is perfect for you!

Frequently Asked Questions (FAQs) for AI Research Scientist/Engineer Role at Intel
What are the main responsibilities of an AI Research Scientist/Engineer at Intel Labs?

As an AI Research Scientist/Engineer at Intel Labs, your primary responsibilities will include driving new AI optimization and acceleration techniques within Intel's hardware and software products. You'll be expected to implement state-of-the-art techniques in AI model optimization, including quantization and sparsity. Additionally, your role involves evaluating performance on hardware products and contributing to ongoing research initiatives. Collaboration with partners to maintain the research agenda is also key, along with contributing to scientific publications to share knowledge with the broader research community.

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What qualifications do I need to apply for the AI Research Scientist/Engineer position at Intel Labs?

To qualify for the AI Research Scientist/Engineer role at Intel Labs, you need a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a relevant field, with 6+ years of experience, or a Master's with 4+ years, or a PhD with 2+ years of experience. Key qualifications also include experience in AI optimizations, computer architecture, and a strong foundation in generative AI models. Hands-on experience with frameworks like PyTorch and a solid publication record in top-tier conferences is highly preferred.

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What skills are essential for success as an AI Research Scientist/Engineer at Intel Labs?

Success as an AI Research Scientist/Engineer at Intel Labs requires a deep understanding of AI optimization techniques, a solid foundation in computer architecture, and hands-on experience with AI frameworks. Additionally, excellent communication skills and the ability to collaborate effectively with cross-functional teams are vital. The role also demands careful attention to detail and a self-driven approach to managing research projects, particularly in driving innovation within ambiguous environments.

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What kind of projects will I work on as an AI Research Scientist/Engineer at Intel Labs?

In the AI Research Scientist/Engineer position at Intel Labs, you will work on cutting-edge projects that focus on generative AI and multimodal systems. Your efforts will be directed toward innovations that drive the AI computing experience, exploring new technologies that bridge hardware and software. Each project aims to push boundaries in AI model optimization, distributed computing, and address significant industry needs, ensuring every contribution is impactful and forward-thinking.

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What benefits can I expect as an AI Research Scientist/Engineer at Intel Labs?

As an AI Research Scientist/Engineer at Intel Labs, you'll enjoy a competitive compensation package that includes attractive salary ranges, stock options, and bonuses. Beyond financial incentives, Intel Labs provides extensive health and retirement benefits, vacation days, and a hybrid work model that allows for a flexible working environment. The focus on employee well-being and advancement ensures that you're supported throughout your career journey.

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Common Interview Questions for AI Research Scientist/Engineer
Can you describe a project where you implemented AI optimization techniques effectively?

In your response, describe a specific project that demonstrates your experience with AI optimization techniques. Discuss the objectives, the optimization strategies you employed (such as quantization or sparsity), and how it led to performance improvements. Be sure to highlight the outcomes and any metrics that underscore your success.

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How do you stay current with developments in AI research and technology?

Share your strategies for staying informed, such as subscribing to relevant journals, attending conferences like NeurIPS or AAAI, or engaging with online communities. Highlight any key publications that influenced your work and how you integrate new knowledge into your projects.

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What is your experience with generative AI models?

Discuss your hands-on experience with generative AI models, mentioning specific models you have worked with and scenarios where you’ve applied them. Illustrate how you approached challenges and what results were achieved, demonstrating your knowledge and expertise in this area.

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Describe your approach to collaboration in a cross-functional team.

Talk about the importance of collaboration and communication in your work. Share an example of a project where you collaborated with various stakeholders, how you facilitated discussions, and the methods you used to ensure everyone was aligned toward shared goals.

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Can you explain the concept of quantization in AI model optimization?

Provide a brief explanation of quantization, emphasizing its benefits for reducing model size and improving inference speed. You may also mention specific scenarios or projects where you applied quantization and discuss the results you achieved through this technique.

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How would you approach prototyping a new AI solution?

Describe your step-by-step approach to prototyping, including identifying key requirements, selecting tools and technologies, and iterating based on feedback. Emphasize your hands-on skills and how you leverage prototyping to validate ideas and innovate faster.

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What has been your role in contributing to scientific literature in the AI domain?

Detail your experience with writing and publishing research papers, including the topics you have covered and the conferences where you presented. Highlight how these contributions have enhanced your understanding of AI and shaped your work in practical applications.

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What programming languages and frameworks are you proficient in for AI research?

List the programming languages and AI frameworks you are skilled in, such as Python and PyTorch. Provide examples of how you have used these tools in projects to improve AI model development, optimization, or implementation.

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How do you handle risk and uncertainty in research projects?

Discuss your approach to managing risks, such as thorough planning, risk assessment, and employing agile methodologies. Highlight how you proactively address uncertainties and ensure progress even in ambiguous situations.

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What motivates you to drive early-stage research projects?

Share your motivation for tackling early-stage projects, focusing on your passion for innovation and the excitement of exploring new ideas. Provide examples of projects where you took initiative and the successful outcomes that resulted from your efforts.

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CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
Customer-Centric
BENEFITS & PERKS
Snacks
Onsite Gym
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Paid Time-Off
401K Matching
Maternity Leave
Paternity Leave
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TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 16, 2024

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