SWE - Applied Machine Learning Engineer - Developer Publications

Apple Inc.; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking an Applied Machine Learning Engineer for its Developer Publications team in London. This role involves fine-tuning models for tools used by developers, ensuring high-quality software delivery. Candidates should have strong programming skills and experience with ML frameworks, with a focus on creating innovative solutions in AI.

Qualifications

• Proficiency with ML frameworks like PyTorch, TensorFlow, or OpenNMT.
• Experience with Large Language Models (LLMs) that generate code.
• Hands-on experience with fine-tuning and training models.

Responsibilities

• Fine-tuning models for evaluation and experimentation.
• Collaborating on model development from ideation to deployment.
• Developing frameworks and tools for model fine-tuning.

Skills

Proficiency with open-source ML frameworks

Strong programming skills in Python

Strong programming skills in C/C++

Strong programming skills in Swift

Education

BS, MS, or PhD in Computer Science

BS, MS, or PhD in Artificial Intelligence

BS, MS, or PhD in Machine Learning

Job description

Selection changes the language of the page/content

SWE - Applied Machine Learning Engineer - Developer Publications

London, England, United Kingdom | Machine Learning and AI

Add to Favourites: SWE - Applied Machine Learning Engineer - Developer Publications

Description

As an Applied ML Engineer in the Developer Publications Intelligence team, you will join a multi-disciplinary team of passionate engineers to design, fine-tune, and produce models used by existing and future tools developed by Apple for third-party developers. We seek exceptional candidates to help shape the future of Swift code generation and beyond. Your role is to ensure Apple and third-party developers using Xcode deliver outstanding software products to millions of users worldwide. Your responsibilities will include:

1. Fine-tuning models and making them available for evaluation and experimentation by engineers
2. Engaging in all aspects of model development, from ideation and training to deployment
3. Collaborating with data collection, model evaluation, and tool integration teams to develop and implement model solutions
4. Developing and maintaining frameworks and tools to facilitate the model fine-tuning process

Minimum Qualifications

• Proficiency with open-source ML frameworks such as PyTorch, TensorFlow, or OpenNMT
• Strong programming skills in Python, C/C++, Swift, or other languages

Preferred Qualifications

• BS, MS, or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
• Experience with Machine Learning, especially Large Language Models (LLMs) that generate code
• Ability to interpret and apply cutting-edge research to customer-facing products and developer tools
• Hands-on experience with fine-tuning, model recipes, and training models
• Experience adapting re-trained LLMs for downstream tasks
• Experience using Xcode for software development on Apple platforms
• Proficiency in Swift programming language
• Knowledge of Apple’s APIs such as SwiftUI and Foundation
• Ability to work cross-functionally across disciplines