Senior Staff, Scientist - Generative AI

Key Skills

Aartificial intelligence, Analytical and Problem solving, Deep Learning, Effective communication skills, Generative AI, Large Language Models - LLMs, Optimization, PyTorch, TensorFlow

Job Description

We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications for Samsung devices and services. Bixby Lab work on many high impact projects that serve various Samsung lines of business. We are at the forefront of using sophisticated machine learning techniques and mathematical models to tackle impactful business problems. We continuously innovate and are constantly pushing the envelope. The Applied Machine Learning Data Science team is an outstanding combination of machine learning techniques, algorithms, as well as real world business solutions that will impact billions of devices in the world. Join us and you will have the opportunity to do groundbreaking applied machine learning work that will craft the industry.

Position Responsibilities:

• Generative AI model finetuning based on specific tasks
• Prompt engineering and finetuning based on use cases
• Understanding the application use cases and implementing the solution using LLM
• Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders
• Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects
• Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development
• Implement on device AI solution for Samsung products and services
• Manage the project lifecycle from research and development to deployment and optimization

Required Skills:

• Masters or PhD in AI or computer science or equivalent combination of education, training, and experience
• 5+ years of industry experience with strong ML fundamentals
• Hands-on experience with building Deep Learning applications
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong experience in on device AI implementation
• Strong analytical and problem solving skills
• Strong knowledge of Tensor flow framework and architecture
• Strong software engineering skills in Python to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
• Proven ability to train and debug deep learning systems: defining metrics and datasets, performing error analysis and training models in a modern ML framework
• Familiarity with researching current ML literature and math including optimization methods and modeling techniques
• Strong experience in the transition of a prototype into a final product
• Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams

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

$172,700—$237,650 USD

Additional Information

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.