Job description

We are seeking a highly skilled Senior Machine Learning Engineer specializing in Conversational AI. Our goal is to deliver offline evaluation insights that drive model development and improve the end-user experience, all while upholding Apple's strict privacy standards. In this pivotal role, you will collaborate with cross-functional teams to curate and evolve high-quality evaluation datasets for state-of-the-art models. With the advent of Apple Intelligence, you will tackle novel challenges in evaluating highly personalized user experiences. 7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products. Proven experience managing large-scale datasets for ML training and/or evaluation. Excellent programming skills in Python MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field The qualifications that will benefit a candidate to be successful in your role. Please list no more than 6-8. Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle. Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems. Track record of delivering large-scale, cross-functional ML product or platform outcomes. Excellent problem-solving, critical thinking, and communication skills to drive alignment across teams. Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components

Requirements

Must-haves

7+ years of professional experience applying machine learning to real-world problems and crafting scalable data solutions, specifically in natural language products.
Proven experience managing large-scale datasets for ML training and/or evaluation.
Excellent programming skills in Python
MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field
The qualifications that will benefit a candidate to be successful in your role. Please list no more than 6-8.
Deep domain knowledge in Conversational AI and a strong understanding of the end-to-end ML product lifecycle.
Expertise in defining and measuring evaluation coverage for Large Language Models (LLMs) and agentic systems.
Track record of delivering large-scale, cross-functional ML product or platform outcomes.
Excellent problem-solving, critical thinking, and communication skills to drive alignment across teams.
Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpython

Platform: apple
Effort: medium