Samsung Electronics GmbH
Senior Machine Learning Engineer, Knox Cloud Service
Samsung Electronics GmbH, Mountain View, California, us, 94039
Job Location
Mountain View, CA Job Category
Mobile Platform and Solutions Job Type
Full-time Job #
402483 Job Department
B2B Solutions The Samsung Knox Cloud Service team focuses on the development and research of large-scale production-level machine learning algorithms, models, and systems. We aim to represent Samsung's leadership in large-scale machine learning products. This is an exciting opportunity for a talented and hardworking machine learning engineer to get involved in envisioning, designing, and implementing cutting-edge products with a growing team. Position Summary: In this position, you will join a collaborative team of world-class developers/research engineers and have a chance to integrate your innovative solutions into our Security & Intelligence services. Come join the Samsung Knox Cloud Service team and help us shape the future role of Samsung in the machine learning domain! Position Responsibilities: Design, develop, and productize both device and server-side machine learning solutions for Samsung services. Productize machine learning algorithms from Samsung Research teams or Research Papers. Create quick prototypes and proof-of-concepts. Design experiments, perform evaluations, and apply enhancements to our products. Create state-of-the-art ML-based security solutions for Samsung devices. Required Skills: Master’s or Ph.D. degree in Computer Science, Statistics, Math, Physics, Mechanical Engineering, or other quantitative fields, or equivalent combination of education, training, and experience. 3+ years of experience in building machine learning and deep learning-based software solutions. Solid theoretical background in deep/machine learning and exceptional hands-on experiences in changing the model source code for optimal performance. Hands-on experience with various MLs, such as GNN, VAEs, and transformer-based models. Understanding of GenAI Foundation Models, Vector DB, and Graph DB. Familiar with RAG (Retrieval-Augmented Generation) and model fine-tuning. Familiar with various quantization techniques including QAT and PTQ. Use of orchestration tools like Langchain, Pydantic, and others for efficient AI model management. Strong programming skills with Python. Exceptional problem-solving and interpersonal skills. Familiar with Amazon Web Services or Google Cloud Platform. Familiar with big data tools, data pipelines, RDBMS, and NoSQL databases. Experience with security & privacy concepts such as zero trust and differential privacy. Base Pay Range: $151,200 — $207,750 USD Additional Information: Be careful not to disclose information related to the trade secrets of your previous or current employer(s). Essential Job Functions: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com. Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.
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Mountain View, CA Job Category
Mobile Platform and Solutions Job Type
Full-time Job #
402483 Job Department
B2B Solutions The Samsung Knox Cloud Service team focuses on the development and research of large-scale production-level machine learning algorithms, models, and systems. We aim to represent Samsung's leadership in large-scale machine learning products. This is an exciting opportunity for a talented and hardworking machine learning engineer to get involved in envisioning, designing, and implementing cutting-edge products with a growing team. Position Summary: In this position, you will join a collaborative team of world-class developers/research engineers and have a chance to integrate your innovative solutions into our Security & Intelligence services. Come join the Samsung Knox Cloud Service team and help us shape the future role of Samsung in the machine learning domain! Position Responsibilities: Design, develop, and productize both device and server-side machine learning solutions for Samsung services. Productize machine learning algorithms from Samsung Research teams or Research Papers. Create quick prototypes and proof-of-concepts. Design experiments, perform evaluations, and apply enhancements to our products. Create state-of-the-art ML-based security solutions for Samsung devices. Required Skills: Master’s or Ph.D. degree in Computer Science, Statistics, Math, Physics, Mechanical Engineering, or other quantitative fields, or equivalent combination of education, training, and experience. 3+ years of experience in building machine learning and deep learning-based software solutions. Solid theoretical background in deep/machine learning and exceptional hands-on experiences in changing the model source code for optimal performance. Hands-on experience with various MLs, such as GNN, VAEs, and transformer-based models. Understanding of GenAI Foundation Models, Vector DB, and Graph DB. Familiar with RAG (Retrieval-Augmented Generation) and model fine-tuning. Familiar with various quantization techniques including QAT and PTQ. Use of orchestration tools like Langchain, Pydantic, and others for efficient AI model management. Strong programming skills with Python. Exceptional problem-solving and interpersonal skills. Familiar with Amazon Web Services or Google Cloud Platform. Familiar with big data tools, data pipelines, RDBMS, and NoSQL databases. Experience with security & privacy concepts such as zero trust and differential privacy. Base Pay Range: $151,200 — $207,750 USD Additional Information: Be careful not to disclose information related to the trade secrets of your previous or current employer(s). Essential Job Functions: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com. Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.
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