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Qualcomm
Qualcomm

Inventing the technologies the world loves.

Senior Machine Learning Engineer (AI Research Vietnam)

RoleMachine Learning
LevelSenior
LocationHo Chi Minh City, Vietnam
WorkOn-site
TypeFull-time
Posted4 months ago
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Required skills

Python

PyTorch

TensorFlow

Machine Learning

Company:

Qualcomm Vietnam Company Limited, Hanoi Branch Office

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

About Qualcomm AI Research:

Qualcomm AI Research is at the forefront of advancing the state of the art in artificial intelligence. Our global team of researchers and engineers is dedicated to pushing the boundaries of AI across generative AI, foundation models, multi-modal (text/image/video) generation, reasoning, reinforcement learning, with a strong emphasis on efficient on-device intelligence. The Vietnam team plays a critical role in driving cutting-edge research and system-level innovation, contributing to Qualcomm’s leadership in generative AI across mobile, automotive, XR, and robotics.

Job Overview:

We are seeking a Senior AI Research Engineer to join our dynamic and talented team in Vietnam. This role is ideal for a highly motivated and talented research engineer with a strong background in generative AI, machine learning, deep learning, and software engineering. You will work directly with AI research teams to implement algorithms, conduct experiments, develop research-oriented software tools, as well as work together with global research and product teams to bring generative AI models to embedded devices.

Key Responsibilities

  • Design, implement, train, optimize and deploy cutting-edge generative AI models and solutions.

  • Conduct large-scale experiments and iterate rapidly.

  • Ensure code quality, scalability, and maintainability.

  • Support system design and transition prototypes to production.

Required Skills

  • Strong Python and Py Torch programming skills demonstrated through relevant industry experience.
  • Hands on experience with both diffusion models and autoregressive transformer-based architectures.
  • Skilled in model training, fine-tuning, prompt engineering, evaluation, and pipeline optimization.
  • Proficient in C++ and Android development.
  • Experience with model optimization (e.g., quantization, pruning, distillation), and deployment on-edge devices and embedded platforms is a big plus.
  • Experience with software engineering best practices. Familiar with development lifecycle and Agile methodologies.
  • Comfortable working in a distributed team environment.

Minimum Qualifications

  • B.Sc. degree in Computer Science, Electrical Engineering or related field.

  • 3+ years of relevant experience.

  • Proficiency in deep learning frameworks (e.g., Py Torch, Tensor Flow) and programming languages (Python, C++).

  • Knowledge of LLMs, LVMs, transformers and diffusion models.

  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • MSc or PhD, or equivalent experience from a recognized AI Residency program.

  • Publications in top-tier AI/ML conferences.

  • Experience in contributing to AI research projects.

  • Contributions to open-source AI projects or community efforts.

Why Join Us

  • Work in a globally recognized AI research team.
  • Contribute to high-impact, strategically important projects.
  • Collaborate with leading researchers and engineers across Qualcomm.
  • Thrive in an inclusive, innovation-driven environment.
  • Enjoy competitive compensation and career growth opportunities.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR
    Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
    OR
    PhD in Computer Science, Engineering, Information Systems, or related field.

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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About Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

Employees

San Diego

Headquarters

$136B

Valuation

Reviews

3 reviews

3.0

3 reviews

Work-life balance

3.0

Compensation

2.0

Culture

2.5

Career

3.5

Management

2.0

45%

Recommend to a friend

Pros

Opportunity to work at reputable company

Interesting work and new skill development

Strong brand name recognition

Cons

Low compensation compared to market rates

Poor communication from employees

No benefits provided

Salary Ranges

21 data points

Junior/L3

Junior/L3 · Data Scientist

0 reports

$196,000

total per year

Base

$150,000

Stock

$33,000

Bonus

$13,000

$166,600

$225,400

Interview experience

8 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience