AI Research Scientist (m/w/d)
Intel CorporationGermany17 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Job Details
Job Description:
Role
We are seeking a highly motivated AI Research Scientist to join our team and drive innovation in solving high-value business challenges. In this role, you will develop and implement cutting-edge AI models tailored to real-world applications. You will conduct applied research using state-of-the-art techniques in areas such as:
Qualifications
We are looking for candidates with strong technical expertise and a passion for AI innovation. Ideal qualifications include:
Experienced Hire
Shift
Shift 1 (Germany)
Primary Location:
Virtual Germany
Additional Locations:
Business Group
As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.
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. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.
Job Description:
Role
We are seeking a highly motivated AI Research Scientist to join our team and drive innovation in solving high-value business challenges. In this role, you will develop and implement cutting-edge AI models tailored to real-world applications. You will conduct applied research using state-of-the-art techniques in areas such as:
- Machine Learning
- Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Time Series Forecasting
- Tabular Data Modeling
- Pattern Recognition
Qualifications
We are looking for candidates with strong technical expertise and a passion for AI innovation. Ideal qualifications include:
- Experience with compilers: LLVM, MLIR, Triton
- Proficiency in AI frameworks: PyTorch, TensorFlow, ONNX
- Familiarity with AI model architectures: Transformers, DNNs, CNNs
- Programming skills in C/C++ and Python
- Knowledge of workload distribution, code generation, and hardware architecture
- Strong background in code optimization, performance analysis, and benchmarking
- Experience in open-source contribution and upstream engagement
- Ability to rapidly prototype and iterate on research ideas
Experienced Hire
Shift
Shift 1 (Germany)
Primary Location:
Virtual Germany
Additional Locations:
Business Group
As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.
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. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.
Key Skills
Ranked by relevanceReady to apply?
Join Intel Corporation and take your career to the next level!
Application takes less than 5 minutes