Builds machine learning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data. Uses or develops machine learning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics. Interacts with users to define requirements for breakthrough product/solutions. In either research environments or specific product environments, utilizes current programming methodologies to translate machine learning models and data processing methods into software. Completes programming, testing, debugging, documentation and/or deployment of libraries.
Qualifications:- 5+ years hands-on experience on AI/ML algorithm development
- 3+ years of hands-on experience in NLP, LLM-based systems, or AI agent development.
- Deep expertise in GenAI algorithms, solution architecture, and performance tuning.
- Proven experience building custom AI tools, agents, or apps for real-world use cases.
- Strong Python skills;
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs.
- Experience with RAG pipelines, vector databases (e.g.,FAISS, Chroma), and embedding techniques.
- Experience optimizing GenAI workloads for edge devices using xPU accelerators.
- Excellent problem-solving skills with a results-driven, customer-focused mindset.
- Experience with local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models.
- Experience in customer/partner support for GenAI workflow design and deployment.
- Familiarity with client AI tools, cross-platform agents, or plugin ecosystems.
- Experience in UX/UI or prompt engineering to improve human-AI interaction.
Job Type:Experienced HireShift:Shift 1 (China)Primary Location: PRC, ShanghaiAdditional Locations:PRC, BeijingBusiness 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.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 TrustN/A
Work Model for this Role
This role will require an on-site presence. * 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.Skills Required
- 5+ years hands-on experience on AI/ML algorithm development
- 3+ years of hands-on experience in NLP, LLM-based systems, or AI agent development
- Deep expertise in GenAI algorithms, solution architecture, and performance tuning
- Strong Python skills
- Experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs
- Experience optimizing GenAI workloads for edge devices using xPU accelerators
- Experience with RAG pipelines, vector databases, and embedding techniques
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Parental & Family Support — Family-building and caregiving supports are extensive, including fertility coverage, adoption assistance, paid parental leave, childcare and elder care resources, and a structured reintegration for new parents. These benefits are positioned as best-in-class elements of the package.
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Leave & Time Off Breadth — Time off includes generous PTO, a paid sabbatical after extended tenure, and multiple leave types such as family, medical, bereavement, and military. This breadth enables employees to disconnect, recharge, and manage life events.
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Retirement Support — Long-term savings are bolstered by a competitive 401(k) match and access to deferred compensation for eligible levels, alongside stock purchase opportunities. These programs are highlighted as strong tools for financial security.
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Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.
