Job Title: Data Scientist ML Engineer Gen AILocation: Cupertino, CA - hybridDuration: 12 Months with Possible ExtensionPay Range: $70 - $74.63hr on W2
Job Summary
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.
Required Experience and Skills
Bachelors degree in Computer Science or related field from an accredited U.S. institution
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
Benefits
InfoPride Global offers eligible employees comprehensive healthcare coverage, medical, dental, and vision plans, supplemental coverage, accident insurance, critical illness insurance, and hospital indemnity. Additionally, employees receive a 401k-retirement savings plan, life & disability insurance, an employee assistance program, legal support, auto home insurance, pet insurance, and employee discounts with preferred vendors.