{"id":819169,"url":"https://alion.io/job/qualcomm-staff-machine-learning-engineer-2","title":"Staff Machine Learning Engineer","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":72,"open_postings":1182,"ghost_share":0.22,"stale_share":0.121,"repost_share":0.468,"time_to_fill_p50_days":75,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanoi, Vietnam","Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":75000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1148},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Quantization","optional":false},{"name":"VLM","optional":false},{"name":"ONNX","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-09-07T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-18T06:38:05Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":41},"description":"Company:\nQualcomm Vietnam Company Limited, Hanoi Branch OfficeJob Area:\nEngineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:\nWe are hiring aStaff Engineer to join our world-class team in Vietnam. Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in generative AI, includingLLM, VLM and text-to-imagemodels, efficient architecturesand quantization,efficient inferencing, and on-device model deployment. You will lead and contribute to high impactapplied research initiatives, collaborate with global teams, and help transition cutting-edge models into real-world applications. Senior-level candidates are expected to demonstrate research leadership, mentor junior researchers andEngineeringAI Residents, and drive innovation aligned with Qualcomm’s strategic priorities.\nKey Responsibilities\nConduct original and cutting-edge applied research in efficient generative AI: LLMs,multi-modal and text-to-image models, quantization, efficient architectures and inferencing, and others.\n\nProvide technical leadership in research and applied projects and guide research directions to best support company objectives.\n\nMentorEngineeringAI Residentsto fostercollaboration, growth and excellence in a dynamic R&D environment.\n\nLead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact.\n\nContribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.\n\nPublish in top-tier conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc).\n\nRequired Qualifications\nBSc, MSc or PhD in Computer Science, Electrical Engineering, or a closely related field.\n\nDeep expertise in generative AI, large language models (LLMs), multi-modal language-vision models, LLM reasoning, and diffusion models. Familiar with model optimization techniques such as quantization and distillation.\n\nHands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.\n\nPreferred Qualifications\nPhD in Computer Science, Electrical Engineering, or a closely related field.\n\nProven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc.)regarding generative AI.\n\nDeep expertise in efficiency techniques(PTQ, QAT, speculative decodings, …) forlarge language models (LLMs), multi-modal language-vision models, and diffusion models.\n\nHands-on experience with modeldeployment on edge devices.Familiar with ONNX and/or other IR graphs.\n\nWhy Join Us\nBe part of a globally recognized AI research organization.\n\nWork on impactful projects with real-world deployment.\n\nCollaborate with top researchers across Qualcomm’s global network.\n\nThrive in an inclusive, innovative-driven environment.\n\nEnjoy competitive compensation and career development opportunities.\n\nMinimum Qualifications:\n• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR\nMaster's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nOR\nPhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.\nApplicants: 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  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).\nQualcomm 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.\nTo 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. 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