Senior Machine Learning Engineer, Knox Cloud Service

Lab Summary
Samsung Knox Cloud Service team focuses on the development and research of large-scale production-level machine learning algorithms, models, and systems, representing Samsung's leadership in large-scale machine learning products. The team productizes a wide range of machine learning algorithms from various Samsung Research teams and research papers, including both device and server applications. This is an exciting and unique opportunity for a talented and hard-working 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
- Academic: 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.
- Experience: 3+ years in building machine learning and deep learning-based software solutions; solid theoretical background in deep/machine learning; hands-on experience in optimizing model performance.
- Machine Learning Expertise: Experience with various MLs (e.g., GNN, VAEs, transformer-based models); understanding of GenAI Foundation Models, Vector DB, Graph DB.
- Techniques: Familiarity with RAG (Retrieval-Augmented Generation), model fine-tuning, and various quantization techniques (QAT and PTQ).
- Tools: Experience with orchestration tools like Langchain, Pydantic; strong programming skills in Python.
- Additional Skills: Exceptional problem-solving and interpersonal skills; familiarity with Amazon Web Services or Google Cloud Platform; knowledge of big data tools, data pipelines, RDBMS, and NoSQL databases; experience with security & privacy concepts (e.g., zero trust, differential privacy).

Compensation and Benefits
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may vary due to geographic differentials in the labor market. Rates depend on factors including role function, location, and individual qualifications. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits.

Base Pay Range
$151,200—$207,750 USD

Additional Information
- Essential Job Functions: This position will be performed in an office setting, requiring the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment.
- Accommodations: Samsung Research America is committed to complying with all laws related to the employment of qualified individuals with disabilities. If you need a reasonable accommodation during the employment selection process, please contact the recruiter or email sratalent@samsung.com.
- Affirmative Action / Equal Opportunity: 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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