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Qualcomm
Qualcomm

Inventing the technologies the world loves.

FY26 Intern - Deep Learning Researcher Internship - 4 months, Amsterdam

职能机器学习
级别实习
地点Amsterdam, North Holland, Netherlands
方式现场办公
类型实习
发布6个月前
立即申请

必备技能

Machine Learning

Company:

Qualcomm Technologies Netherlands B.V.

Job Area:

Interns Group, Interns Group > Interim Intern

General Summary:

At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.

We have multiple positions available for our 4-month Deep Learning Research internship program.
As a Deep Learning Research Intern, you will develop, prototype, and implement new fundamental and impactful methods in one of our research areas. The internship program gives you a unique opportunity to advance the state of the art in artificial intelligence and publish at scientific conferences. You will join a team of talented and experienced researchers and engineers and become part of our collaborative and interdisciplinary environment.

Our research areas include:

  • Model Efficiency: Advancing efficiency of generative models and architectures with innovations in, e.g., model quantization, compression, sparsity, conditional computation (e.g., mixture of experts), application to LLMs/LVMs/multi-modal models.
  • Generative Vision: Research on efficient generative modeling of visual and multimodal data using diffusion, flow-matching, autoregressive methods, Gaussian Splatting, VLMs, and MLLMs.
  • Agentic AI & Reasoning: Research on agentic AI system and algorithms, long horizon planning, inference time compute, RL training of reasoning LLMs, generative reward models and LLM sampling techniques.
  • Embodied AI: Research on manipulation (Vision-Language-Action models, diffusion), loco-manipulation on humanoid robots, learning-from-human-videos, and reinforcement learning applied to these topics.
  • Robustness & Alignment: Research on robust & efficient methods to align models for safe, reliable, and resource-constrained edge, emphasizing controllable generation, uncertainty quantification, guardrails and on-device adaptation techniques.

Requirements

We welcome applications from motivated PhD candidates. Applicants must be enrolled in their PhD degree program for the duration of the internship. Ideal applicants are currently pursuing a PhD with focus on machine learning, artificial intelligence, computer vision, or foundation models (LLMs/LVMs) and have proven research ability, e.g., having published at relevant academic conferences (NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV etc.).

Why join us

At Qualcomm AI Research, you will be part of a team with a wide range of backgrounds that values innovation and creativity. You will be part of a global company (headquartered in San Diego) and work closely with exceptional researchers and engineers that publish at major conferences.You will work on-site at our office located at the campus of the University of Amsterdam and live in a scenic, vibrant city with high living standards, numerous cultural activities, and plenty of green spaces.
Qualcomm offers interns flexible start dates between November 2025 and July 2026, a competitive salary, relocation assistance, and holiday & sick pay.

References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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关于Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

员工数

San Diego

总部位置

$136B

企业估值

评价

3条评价

3.0

3条评价

工作生活平衡

3.0

薪酬

2.0

企业文化

2.5

职业发展

3.5

管理层

2.0

45%

推荐率

优点

Opportunity to work at reputable company

Interesting work and new skill development

Strong brand name recognition

缺点

Low compensation compared to market rates

Poor communication from employees

No benefits provided

薪资范围

21个数据点

Junior/L3

Junior/L3 · Data Scientist

0份报告

$196,000

年薪总额

基本工资

$150,000

股票

$33,000

奖金

$13,000

$166,600

$225,400

面试评价

8条评价

难度

2.8

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience