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Machine Learning Model – Research Engineer
Summary by AIEngineer.careers
Machine Learning Model – Research Engineer is a Machine Learning Research Engineer role (full-time). with Samsung. in MOUNTAIN VIEW, US. Compensation shown: $230K–$280K. Imported listing (source: careers4graduates.com). Apply on the employer's site (careers4graduates.com).
Imported listing (source: careers4graduates.com) · Apply on careers4graduates.com
MOUNTAIN VIEW · US
$230K–$280K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careers4graduates.com
Samsung Ads is seeking a Machine Learning Research Engineer to join its Platform Intelligence team in Mountain View. You will build next-generation generative AI applications for the advertising domain, design advanced deep learning models, and deploy them to production. The role involves close collaboration with engineering teams, university partners, and publishing research in top venues.
Responsibilities
- Build next-generation generative AI-based products to open new business opportunities and transform user experience.
- Explore and share cutting-edge machine learning technologies for business use cases.
- Design and develop advanced deep learning models to improve existing products.
- Create quick prototypes and proof-of-concepts for machine learning product features.
- Closely work with the machine learning engineering team to deploy new models in production.
- Closely work with university collaborators and external partners to advance machine learning capabilities.
- Publish research results in top venues and file patents.
Requirements
- Master's or PhD degree in Computer Science or related fields.
- Rich hands-on experience in state-of-the-art large language models (LLMs) and/or diffusion models.
Samsung
김제시 · KR · 259149+ employees
Samsung Electronics Co., Ltd. is a global technology company organized around Device eXperience and Device Solutions businesses. Its portfolio spans smartphones and tablets, televisions and displays, home appliances, wearable devices, network equipment, semiconductors, medical devices, and related digital/IoT services.
