At a Glance
- Tasks: Join a team to design and fine-tune AI models for Apple’s developer tools.
- Company: Apple is a leader in innovation, creating products that change lives for the better.
- Benefits: Collaborate with diverse teams and work on cutting-edge technology in a creative environment.
- Why this job: Be part of shaping the future of Swift code generation and impact millions of users worldwide.
- Qualifications: Strong programming skills and experience with ML toolkits; passion for code generation required.
- Other info: Ideal for those who thrive in collaborative, multi-discipline environments.
The predicted salary is between 48000 - 84000 £ per year.
Choose a language (This will update the page.) SWE – Applied Machine Learning Engineer, Developer Publications London, England, United Kingdom Machine Learning and AI Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Our developer documentation department seeks a creative engineer who has a robust knowledge of large language models (LLMs), generative AI, and experience with code generation. Our ideal candidate has the ability to fine-tune pre-trained models and work collaboratively in a multi-discipline team. Strong engineering fundamentals and a passion for code generation models are required. As an Applied ML Engineer in the Developer Publications Intelligence team, you will join a multi-discipline team of passionate engineers to design, fine-tune, and produce models that will be used by existing and future tools produced by Apple for third-party developers. We are looking for exceptional candidates to help define the future of Swift code generation in our tools and beyond. Your role is to ensure Apple and our third-party developers using Xcode deliver extraordinary software products to millions of customers around the world! Your duties will include: Fine-tuning models and making them available for engineers to evaluate and define further experiments Actively engaging in all aspects of model development, from ideation, training, experimentation to deployment Collaborating with data collection, model evaluation, and tool integration teams to develop and implement model solutions Developing and maintaining frameworks and tools to help facilitate the model fine-tuning process Minimum Qualifications Proficiency using open-source ML toolkits and frameworks (e.g., PyTorch, TensorFlow, OpenNMT) Strong programming skills (Python, C/C++, Swift, or other language) Preferred Qualifications BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience) Experience with Machine Learning (ML), with a particular focus on Large Language Models (LLM) that generate code Proven ability to comprehend, interpret, and apply cutting-edge research into customer-oriented products, particularly developer tools Comprehensive knowledge and hands-on experience with fine-tuning approaches, model recipes, and training models Experience adapting re-trained LLMs for downstream tasks Experience using Xcode to build software for Apple’s platforms Proficiency with the Swift programming language Proficiency with Apple’s development APIs (SwiftUI, Foundation, etc) Comfortable working cross-functionally, bringing together multiple disciplines and expertise #J-18808-Ljbffr
SWE - Applied Machine Learning Engineer, Developer Publications employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SWE - Applied Machine Learning Engineer, Developer Publications
✨Tip Number 1
Familiarize yourself with the latest advancements in large language models (LLMs) and generative AI. Being able to discuss recent research or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the developer community, especially those focused on Swift and machine learning. Participating in forums, contributing to open-source projects, or attending relevant meetups can help you build connections and showcase your expertise.
✨Tip Number 3
Prepare to discuss your experience with model fine-tuning and code generation. Be ready to share specific examples of projects where you've successfully implemented these techniques, as this will highlight your practical skills.
✨Tip Number 4
Show your enthusiasm for collaboration by highlighting any past experiences working in multi-disciplinary teams. Emphasizing your ability to communicate effectively with engineers from different backgrounds can set you apart as a candidate.
We think you need these skills to ace SWE - Applied Machine Learning Engineer, Developer Publications
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Applied Machine Learning Engineer position. Tailor your application to highlight your relevant experience with large language models, code generation, and collaborative work in multi-discipline teams.
Highlight Technical Skills: Emphasize your proficiency with open-source ML toolkits like PyTorch and TensorFlow, as well as your programming skills in Python, C/C++, and Swift. Provide specific examples of projects where you've applied these skills, especially in fine-tuning models or developing frameworks.
Showcase Collaborative Experience: Since the role involves working with various teams, include examples of past collaborations. Describe how you engaged with data collection, model evaluation, or tool integration teams to develop solutions, demonstrating your ability to work cross-functionally.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also conveys your passion for machine learning and code generation. Discuss how your vision aligns with Apple's commitment to innovation and how you can contribute to their developer documentation department.
How to prepare for a job interview at Apple Inc.
✨Showcase Your Knowledge of LLMs
Be prepared to discuss your experience with large language models and how you've fine-tuned them in the past. Highlight specific projects where you applied your knowledge of generative AI and code generation.
✨Demonstrate Strong Programming Skills
Make sure to emphasize your proficiency in programming languages like Python, C/C++, and Swift. Be ready to provide examples of how you've used these languages in machine learning projects or software development.
✨Collaborative Mindset
Since the role involves working in a multi-discipline team, share experiences that showcase your ability to collaborate effectively. Discuss how you've engaged with different teams to achieve common goals in model development.
✨Prepare for Technical Questions
Expect technical questions related to model evaluation, training approaches, and tool integration. Brush up on your understanding of open-source ML toolkits like PyTorch and TensorFlow, and be ready to explain your thought process in solving complex problems.