Data Scientist - Multimodal Training Data & Tools - SIML

Apple • Cupertino, CA

9d

About The Position

We are seeking an experienced data scientist to help us build and deploy large scale generative models. Responsibilities in the role will include training ad-hoc models for data synthesis, build data pipelines and tools for large-scale data auto-grading across text and image, prompt engineering and optimization, and extracting insights from billion-scale datasets to enable the model training.

Requirements

• Bachelors or Masters degree in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on data science
• 3+ years of data science or related experience, preferably in a consumer tech company
• Experience developing models for data synthesis and auto-grading to enable training generative models
• Experience in prompt engineering and optimization for LLMs
• Strong programming and problem-solving skills

Nice To Haves

• Strong problem-solving skills and ability to work in a collaborative, product-focused environment
• Ability to communicate technical results clearly and concisely

Responsibilities

• training ad-hoc models for data synthesis
• build data pipelines and tools for large-scale data auto-grading across text and image
• prompt engineering and optimization
• extracting insights from billion-scale datasets to enable the model training

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees