AI Research Scientist in Applied ML

Job Details:

Job Description: 

Join Intel and build a better tomorrow. We create world-changing technology that improves the life of every person on the planet every day in ways that you probably don't even see. We have big ambitions, and a passion to work with others and address world challenges no one can tackle alone. We would love to have you be a part of this. Intel CCG SEG SAI Research Lab is creating the next generation of AI systems, pushing the boundaries of research and technology to produce a positive impact on society and create better AI PC user experiences. You have now the opportunity to join our world-class team of international researchers and engineers, working together to unleash the power of AI at scale.  

Our lab is researching technological trends and advancements of AI PC and client computing technology. We are currently working on multiple research problems combining ideas from multiple domains, Machine Learning, Computer Graphics, and Computer Vision, Video Generation, immersive AI PC experiences.  

We are looking for researchers who are passionate about one or several of the topics below:  

• Great interest in language model architectures 

• Next generation image/video and 3D content creation  

• AI agents and agentic AI and transfer of technology from autonomous & robotics systems  

• Evaluation and optimization of model architectures components especially for diffusion and regression based on software libraries and hardware approaches; optimization of multi-device execution 

• You will be responsible for conceiving, researching, prototyping, and publishing new techniques in one of the domains listed above. You are expected to have a strong knowledge of mathematics, algorithmic techniques, and machine learning.  

• You will also need to have a comprehensive understanding of the state of the art and to be a regular contributor to top scientific venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH, RSS, ICRA).  

• The successful candidate will also possess strong communication skills and a team-oriented mindset and have strong connections with academia. 
   

What do we offer?  

• A collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best.  

• Competitive pay  

• Diverse and inclusive environment (read more about it here) 

• Being a part of a socially and ecologically responsible company (read more about it here). 

• Dedicated training for you during your first weeks at the company to make your transition into work easier and a personal buddy to help you build your network, answer any questions and integrate you into your position.  

• Opportunities for professional development - wide library of online trainings and learning platforms, support and guidance from your team and manager, and different assignment programs.  

• The possibility to build a lifelong career at Intel. We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today. 

Qualifications:

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through schoolwork and/or classes and/or project work and/or internships and/or military training and/or work experience. 

 

Minimum qualifications: 

• The candidate must have a Ph.D. degree in Computer Science, Mathematics, Electrical Engineering, or similar technical areas or in final year of PhD program 

• 3+ publication in first-tier highly selective international conferences such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, SIGGRAPH, or ICRA, ACL, EMNLP 

• 3+ years of experience in at least one of the following areas: Machine Learning, Computer Vision, Computer Graphics, agent based & autonomous systems, AI-based optimization techniques  

 

Preferred qualifications: 

• Software engineering experience demonstrated through publicly available software systems, strong background in optimization-based research experience (e.g. in autonomous and agentic system) is beneficial for planned machine learning and neural rendering-related research. Experience with resource-constrained and real-time systems is a plus.   

• 4+ publications in first-tier highly selective international conferences or journals such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, SIGGRAPH, ICRA, robotics & automation conf, ACL, EMNLP 

          

Job Type:

College Grad

Shift:

Shift 1 (Switzerland)

Primary Location: 

Virtual Switzerland

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as 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.