Lab Summary:
Join the Enterprise & Security Innovation Lab (ESIL) and be at the forefront of developing and researching groundbreaking AI/ML-powered mobile products at a production scale. Our team plays a pivotal role in transforming cutting-edge Machine Learning algorithms and research from across Samsung into innovative device security applications.
Position Summary:
This is a unique and exciting opportunity for a driven and talented engineer to actively shape the future of mobile security. You'll be involved in the entire product lifecycle, from initial envisioning and design to hands-on implementation, all within a dynamic and growing team. If you're passionate about pushing the boundaries of AI/ML in real-world applications, this is your chance to make a significant impact.
Position Responsibilities:
- Develop and deploy on-device machine learning models for Samsung Knox Android solutions, encompassing the full lifecycle from design to implementation includes
- Defining and implementing data preprocessing and feature engineering for machine learning algorithm with optimized performance
- Lead the design and development of innovative Android applications that integrate seamlessly with Samsung Knox security features and APIs
- Investigate and resolve technical issues reported by customers in the field, ensuring timely and effective solutions
- Collaborate closely with testing and customer support teams to provide expert technical guidance and address complex inquiries
- Rapidly prototype and develop proof-of-concept applications to explore new features and validate technical feasibility
Required Skills:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related technical field with a strong emphasis on software development or equivalent combination of education, training and experience
- 3+ years’ experience in developing, testing, and deploying native Android applications in a collaborative, professional environment, with a strong understanding of the Android SDK, Jetpack libraries and modern architectural patterns (e.g., MVVM, MVI)
- 2+ years’ experience in applying, optimizing, and deploying machine learning models specifically for edge devices, including a deep understanding of model quantization, pruning, and efficient inference techniques
- Hands-on experience with frameworks such as TensorFlow Lite, PyTorch, or Executorch is essential
- Proven expertise in data preprocessing and feature engineering for machine learning algorithm
- Deep understanding of on-device inference optimization techniques for resource-constrained environments (CPU, GPU, NPU), including hardware acceleration APIs (e.g., NNAPI)
- Strong proficiency in problem-solving, debugging, and performance analysis of both Android applications and on-device machine learning models, utilizing relevant profiling tools
- Excellent proficiency in Java and Kotlin, including a strong understanding of concurrency, memory management, and performance optimization within the Android ecosystem. Experience with Coroutines and Flow in Kotlin is highly desirable
- Strong communication and teamwork skills, with a results-oriented approach
Special Attributes:
- Understanding of Android internals (Framework, OS, Security)
- Proficiency in C/C++ or Python with application to Android development or analysis
- Experience with Android SDK and analysis tools, and familiarity with the Android build process
- Strong Understanding of Operating System fundamentals, networking and concepts
Additional Information
Disclosure of Trade Secrets
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.
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 [email protected].
Equal Employment Opportunity
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
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