ROBOTICS RESEARCH STUDENT WORKER / RESEARCH SCIENTIST - ADAPTIVE CONTROL FOR ROBOTICS

Job Details.
Job Description.
We work with other internal teams and researchers at universities around the world to develop novel machine-learning algorithms and technologies that make Human-Machine collaboration possible.
We research, experiment, and prototype ideas that have an impact on Intel and its customers across a wide range of applications.
During your internship, you will be responsible for designing, implementing, and evaluating new artificial intelligence algorithms for Robotics inspired in the human-AI interaction, like efficient multimodal architectures and pipelines for vision/language/control systems.
This requires some familiarity with techniques in machine learning, deep learning, robot control and/or natural language processing, and relevant software frameworks, also explore methods to improve retrieval-based pipelines from complex metadata in documents.
You will use your knowledge of scientific principles to suggest and research promising approaches, also you will work in a team-oriented collaborative environment to meet your goals.
You are expected to utilize state-of-the-art principles and theories.
Form strong relationships with university researchers and key collaborators, and the explorations around RAG pipelines for reducing hallucinations and optimization (quantization, distillation, and other memory efficient methods) of the LLMs to run them on the XPU platform to contribute to Intel technologies and/or the scientific literature.
You will be expected to focus on a specific project of mutual interest to you and your mentor(s), focusing on a key research question that will move your work forward.
The ideal candidate should exhibit the following behavioral trait.
Advanced communication skills.
Qualifications.
Minimum qualifications, You must possess the below minimum qualifications to be initially considered for this position.
Student enrolled in a Master, PhD or post-program in artificial intelligence, machine learning, computer science, statistics, electrical engineering, or a relevant engineering/science discipline related.
1+ years of research experience in machine learning, deep learning, or natural language processing.
1+ years of experience in.
Development of algorithms in high-level languages such as Python, C++, Java, etc.
Prior research in Large Language Models and understanding of optimization techniques.
Intermediate to advanced English level.
Must have unrestricted - permanent right to work in Mexico.
Preferred Qualifications.
Publications in top-tier conferences and journals in machine learning related fields (NeurIPS, ICML, AAAI, ACL, etc.) 1+ years of experience in robotics research.
1+ years of experience with deep learning frameworks (TensorFlow, PyTorch, MXNet, etc.).
Prior research in Vision-Language Systems and RAG pipelines.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
A candidate who accepts an offer of employment in Mexico is required to present their own personal identification information and numbers for the following.
Mexican Security Number (NSS), Tax Identification Number (RFC) and CURP identification number.
Job Type.
Student / Intern Shift.
Shift 1 (Mexico) Primary Location.
Mexico, Guadalajara Additional Locations.
Business group.
Intel 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.
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 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.
In certain circumstances the work model may change to accommodate business needs.
Intel provides reasonable accommodation to applicants and employees.
For more information on our Reasonable Accommodation process, please click here.
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