2026 Intern, Machine Learning Engineer
2 weeks ago
Digital Health Lab is the U.S. branch of the Samsung Global Health Services business. We have product management, researcher, UX, user research, data scientists, and software engineering co-located to create the future of wellness and clinical care using user-centric design thinking and agile designer-developer workflow.
Position Summary:
This is an exciting opportunity for a talented and hard-working Machine Learning Engineer who is interested in taking concepts through various stages of prototyping with increasing levels of fidelity, making our experiences real and exposing them to users to make them great.
Position 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 service (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
- Master's or PhD (near completion) experience in Computer Science, Machine Learning, Data Science, or a related field
- Strong expertise in machine learning techniques, especially the algorithms related to recommendation systems (e.g. NCF, RNN, CNN etc)
- Required Technical Skills:
- 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)
- Demonstrated ability to work collaboratively in multidisciplinary teams with strong problem-solving skills, attention to detail, and effective communication
Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Hourly Pay Rate Range
$44-$63 USD
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 sratalent@samsung.com.
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.
For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency
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