ML Research Engineer: Next-Gen Search & Conversational

Socket.dev; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

The Apple Services Engineering (ASE) team is looking for a Machine Learning Researcher/Engineer to design and develop next-generation search and conversational discovery features for Apple's devices and platforms. Join a team that powers search across App Store, Apple Music, Apple TV, Podcasts, and more, across iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices.

As part of ASE Search, you will contribute to building secure, scalable ML systems, working with a cross-functional

Qualifications

• MS in Computer Science or a related field.
• 2+ years of relevant ML or data systems experience.
• Knowledge of generative AI systems, including LLMs, Transformers, and RAG and fine-tuning.
• Experience with PyTorch or TensorFlow; familiarity with distributed training/inference tooling (Ray, TensorRT, vLLM) is a plus.
• Familiarity with search, recommendation systems, or conversational engines.
• Strong communication and ability to work collaboratively in a team.

Skills

Machine Learning

LLMs & Transformers

Search Systems

Communication skills

Collaborative teamwork

Education

MS in Computer Science

PhD in Computer Science (preferred)

Tools

PyTorch

TensorFlow

Ray

TensorRT

vLLM

Go

gRPC

Kubernetes

Job description

The Apple Services Engineering (ASE) team is looking for a Machine Learning Researcher/Engineer to design and develop next-generation search and conversational discovery features for Apple's devices and platforms. Join a team that powers search across App Store, Apple Music, Apple TV, Podcasts, and more, across iOS, macOS, tvOS, watchOS, visionOS, Safari, and third-party devices.

As part of ASE Search, you will contribute to building secure, scalable ML systems, working with a cross-functional