Data Scientist + ML Engineer - Gen AI

Job Title: Data Scientist + ML Engineer (Gen AI)

Location: Cupertino, CA - hybrid

Duration: 12+ Months with Possible Extension

Pay Range: $70 - $74.63/hr on W2

Job Summary

Description:

• 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:

• Bachelor’s 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 Info

Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors.