At a Glance
- Tasks: Join a passionate team to design and fine-tune AI models for Apple's developer tools.
- Company: Apple, a leader in innovation and creativity, values diverse ideas and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
- Why this job: Make a real impact on the future of coding with cutting-edge AI technology.
- Qualifications: Strong programming skills and experience with machine learning and large language models.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
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 will 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)
- Experience with Machine Learning, with a particular focus on Large Language Models (LLM) that generate code
- Comprehensive knowledge and hands-on experience with fine-tuning approaches, model recipes, and training models.
Preferred Qualifications
- BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
- Experience adapting re-trained LLMs for downstream tasks
- Proficiency with Apple’s development APIs (SwiftUI, Foundation, etc)
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Applied Machine Learning Engineer, Developer Publications employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Machine Learning Engineer, Developer Publications
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Apple or similar companies. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and code generation. This is your chance to demonstrate your expertise and passion, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied Machine Learning Engineer, Developer Publications
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let your enthusiasm for machine learning and code generation shine through. We want to see how your experiences and projects reflect your love for the field!
Tailor Your CV: Make sure your CV is tailored to highlight your skills in large language models and programming languages like Python or Swift. We’re looking for specific examples that demonstrate your expertise and how you can contribute to our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Apple
✨Know Your Models
Make sure you have a solid understanding of large language models and their applications. Be ready to discuss your experience with fine-tuning models and how you've used frameworks like PyTorch or TensorFlow in your projects.
✨Showcase Your Collaboration Skills
Since the role involves working in a multi-discipline team, prepare examples that highlight your ability to collaborate effectively. Think about times when you worked with data collection or tool integration teams and how you contributed to successful outcomes.
✨Demonstrate Your Passion for Code Generation
Express your enthusiasm for code generation models during the interview. Share any personal projects or experiences where you’ve implemented or experimented with these technologies, showcasing your proactive approach to learning and innovation.
✨Prepare for Technical Questions
Expect technical questions related to programming languages like Python, C/C++, and Swift. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your engineering fundamentals and problem-solving abilities.