Rose International
Data Scientist + ML Engineer (Gen AI)
Rose International, Cupertino, California, United States, 95014
Date Posted:
10/24/2025 Hiring Organization:
Rose International Position Number:
490526 Industry:
IT Company Job Title:
Data Scientist + ML Engineer (Gen AI) Job Location:
Cupertino, CA, USA, 95014 Work Model:
Hybrid Work Model Details:
3 days onsite, 2 days remote Shift:
General Business hours Employment Type:
Temporary FT/PT:
Full-Time Estimated Duration (In months)
: 12 Min Hourly Rate ($): 74.62 Max Hourly Rate ($):
74.62 Must Have Skills/Attributes:
LLM (Large Language Model), Machine Learning, Python, Pytorch Experience Desired:
Python and familiarity with deep learning frameworks such as PyTorch (3+ yrs); Experience in Machine Learning or Software Engineering (2+ yrs); Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques (2+ yrs) Required Minimum Education:
Bachelor’s Degree
Make sure to apply with all the requested information, as laid out in the job overview below. **C2C is not available**
Job Description Education: • Bachelor’s degree in computer science or related field from an accredited U.S. institution
Required Experience and Skills: • 2+ years of experience in Machine Learning or Software Engineering • Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch • Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques • Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) • Excellent analytical, problem-solving, and debugging skills • Strong communication and documentation skills with the ability to explain complex concepts clearly • Ability to work independently in a fast-paced, iterative development environment
We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI) to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models — including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines.
Responsibilities: • Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build workflows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing. • Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) • Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs • Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows • Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement • Partner cross-functionally with researchers, engineers, and data program managers to define requirements and deliver high-impact ML solutions • Build and enhance internal tools, libraries, and automation workflows to accelerate experimentation and iteration
**Only those lawfully authorized to work in the designated country associated with the position will be considered. **
**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements. **
Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity: For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
10/24/2025 Hiring Organization:
Rose International Position Number:
490526 Industry:
IT Company Job Title:
Data Scientist + ML Engineer (Gen AI) Job Location:
Cupertino, CA, USA, 95014 Work Model:
Hybrid Work Model Details:
3 days onsite, 2 days remote Shift:
General Business hours Employment Type:
Temporary FT/PT:
Full-Time Estimated Duration (In months)
: 12 Min Hourly Rate ($): 74.62 Max Hourly Rate ($):
74.62 Must Have Skills/Attributes:
LLM (Large Language Model), Machine Learning, Python, Pytorch Experience Desired:
Python and familiarity with deep learning frameworks such as PyTorch (3+ yrs); Experience in Machine Learning or Software Engineering (2+ yrs); Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques (2+ yrs) Required Minimum Education:
Bachelor’s Degree
Make sure to apply with all the requested information, as laid out in the job overview below. **C2C is not available**
Job Description Education: • Bachelor’s degree in computer science or related field from an accredited U.S. institution
Required Experience and Skills: • 2+ years of experience in Machine Learning or Software Engineering • Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch • Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques • Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs) • Excellent analytical, problem-solving, and debugging skills • Strong communication and documentation skills with the ability to explain complex concepts clearly • Ability to work independently in a fast-paced, iterative development environment
We are looking for a highly skilled Data Scientist + ML Engineer (Generative AI) to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models — including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines.
Responsibilities: • Design and Implement LLM-Driven Synthetic Data Pipelines: Design and build workflows using LLMs and Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing. • Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) • Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs • Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows • Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement • Partner cross-functionally with researchers, engineers, and data program managers to define requirements and deliver high-impact ML solutions • Build and enhance internal tools, libraries, and automation workflows to accelerate experimentation and iteration
**Only those lawfully authorized to work in the designated country associated with the position will be considered. **
**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements. **
Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity: For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.