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Data Scientist/ML Engineer

OSI Engineering

Cupertino, CA

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JOB DETAILS
SALARY
$59–$74 Per Hour
JOB TYPE
Full-time, Employee
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Automation, Communication Skills, Computer Science, Computer Systems, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Science, Debugging Skills, Deep Learning, Distributed Computing, Documentation, Machine Learning, Modeling Languages, Problem Solving Skills, Project/Program Management, Python Programming/Scripting Language, Requirements Management, Scalable System Development, Software Engineering, Training Data Sets, Workflow Analysis
LOCATION
Cupertino, CA
POSTED
5 days ago
A globally leading consumer device company headquartered in Cupertino, CA is looking for a highly skilled Data Scientist + ML Engineer (Generative AI) to join their 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.

Job 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 Qualifications:
  • 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

Type: Contract
Duration: 12 months with extension
Work Location: Cupertino, CA (hybrid)
Pay rate: $59.00 - $74.00 per hour (DOE)

About the Company

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OSI Engineering