Staff Engineer, Machine Learning (GenAI/LLM)

Key Skills

AWS, Azure, Generative AI, Google Cloud Platform (GCP), HIPAA, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP)

Job Description

Samsung Research America Digital Health Team is looking for an outstanding Staff-level ML Engineer with solid ML/AI/Generative AI/Large Language Model technology background and extensive industry experience in building, scaling and optimizing ML pipelines. You need to have a strong track-record of success in industrial settings commercializing products, preferably GenAI/LLM applications. You will play a key role in delivering innovation in digital health domain, create technologies, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid technical skills and project experiences in areas of generative AI and Large Language Models. This team is the right fit for you if you love working with the latest trend and technologies in LLMs, MLOps and ML more broadly.

You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.

Position Responsibilities:

• Architect, develop and maintain cloud infrastructure and data pipeline for scalable service launch.
• Build, scale, and optimize GenAI/LLM applications and apply best in class MLOps to productionize those workloads.
• Prepare proof-of-concept, demo / prototypes, design and execute pilot studies using Generative AI and Large Language Models.
• Work with project team and contribute to dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs.
• Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap.

 Experience Requirements:

• Graduate degree (MS or Ph.D) in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent combination of education, training, and experience
• Experience building and deploying scalable GenAI/LLM applications, with tools such as VertexAI, HuggingFace, Langchain and OpenAI
• 5+ years of hands-on industry data science experience, leveraging typical ML and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch
• Experience building and deploying production-grade ML applications on AWS/Azure/GCP
• Experience working or leading other DevOps team members (Onshore and Offshore)
• Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams

Special Attributes (nice to have):

• Experience in NLP and Conversational AI.
• Experience in LLM validation, reliability, toxicity/harmfulness avoidance.
• Experience with building knowledge graphs from unstructured texts.
• Experience with vector DB.
• Strong mathematics background, especially statistics.
• Turn the analyzed data into actionable insight and/or understandable visualization.
• Product development and prototyping experience in order to implement and validate solutions.
• Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data.
• Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers.
• Experience operating under HIPAA/CCPA/GDPR is a plus.

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 be higher or lower in other states due to geographic differentials in the labor market. Within the base pay 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.

Base Pay Range

$170,700—$234,400 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.

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.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.