Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
2026 Health Applied Engineering Scholar, Digital Health at Samsung Research America
Mountain View, California, United States
Not SpecifiedCompensation
Internship, Entry Level & New GradExperience Level
InternshipJob Type
UnknownVisa
Healthcare, Digital Health, TechnologyIndustries
Requirements
- Currently pursuing a Masters or PhD (near completion) or postdoctoral experience in Computer Science, Machine Learning, Data Science, or a related field
- Strong expertise in machine learning techniques, especially algorithms related to recommendation systems (e.g., NCF, RNN, CNN, etc.)
- Demonstrated ability to work collaboratively in multidisciplinary teams with strong problem-solving skills, attention to detail, and effective communication
- Proficiency in Python, R, or Java
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Knowledge of data processing tools (e.g., Pandas, NumPy)
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
Responsibilities
- Design, build, and optimize machine learning models for recommendation systems
- Implement algorithms such as supervised learning, unsupervised learning, reinforcement learning, and deep learning for health applications
- Collect, clean, and preprocess large datasets for model training
- Develop robust algorithms to extract meaningful insights
- Debug and optimize models for better accuracy and efficiency using cloud-based services (e.g., AWS)
- Collaborate with multidisciplinary teams to understand business requirements and translate them into technical solutions
- Work with SW Engineering team to validate and improve model accuracy
- Contribute to the development of novel ML algorithms to address complex healthcare challenges
- Actively engage in team discussions, fostering a collaborative and inclusive work environment
Skills
Machine Learning
AI
Data Analytics
Wearable Technology
Sensor Technology
Cloud Computing
Mobile Development
Remote Patient Monitoring
Algorithm Development
Samsung Research America
Develops advanced technology in multiple domains
About Samsung Research America
Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.
665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees
Benefits
Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs
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