At a Glance
- Tasks: Join a creative team to build and integrate ML models for Apple tools.
- Company: Apple, a leader in innovation and technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on excellence and continuous improvement.
- Why this job: Make a real impact with cutting-edge machine learning technologies.
- Qualifications: Strong programming skills and experience with LLM evaluations.
The predicted salary is between 60000 - 80000 € 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.
Our Developer Publications Intelligence team seeks a creative engineer who has a robust knowledge of large language models (LLMs), Machine Learning infrastructure, and experience with LLM-evaluations at scale. Strong engineering fundamentals are required.
As an Applied Machine Learning Engineer in the Developer Publications Intelligence team, you will join a multi-disciplinary team of passionate Machine Learning and Software engineers to build and integrate ML models into existing and future tools produced by Apple for third-party developers. We strive for excellence and believe strongly in the quality of our output. As a member of the team, you will work alongside a team of domain experts in specific core subject areas, enable cross-functional collaboration with other departments at Apple, contribute to architecture discussions, code review and proposals.
Responsibilities
- Driving MLOps/LLMOps excellence within the team: including evaluation pipelines, monitoring, observability, and deployment best practices
- Building and maintaining LLM evaluation pipelines to assess model quality, track regressions, and support continuous improvement cycles
- Engaging in code review, pair programming and architecture discussions with other members of the team
Minimum Qualifications
- Strong programming skills (Python, Swift, Go or other language)
- Experience with MLOps/LLMOps toolkits and frameworks
- Comprehensive knowledge and hands-on experience with LLM evaluations
- A learning attitude to continuously improve self and team
Preferred Qualifications
- BS, MS or PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent experience)
- Experience with: Xcode, Swift and developing for Apple's platforms
- Familiarity with on-device LLMs
At Apple, we commit to treating all applicants fairly and equally. We are a registered Disability Confident employer and will work with applicants to make any reasonable accommodation. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Applied Machine Learning Engineer - Developer Publications in London employer: Omaze
Apple is an exceptional employer that fosters a culture of innovation and collaboration, where diverse ideas come together to create groundbreaking products. As an Applied Machine Learning Engineer, you will be part of a dynamic team dedicated to excellence, with ample opportunities for professional growth and development in a supportive environment. Located in a vibrant tech hub, Apple offers unique advantages such as access to cutting-edge technology and a commitment to employee well-being, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Machine Learning Engineer - Developer Publications in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Apple or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and MLOps. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences with ML models and team collaborations.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Applied Machine Learning Engineer - Developer Publications in London
Some tips for your application 🫡
Show Your Passion for Machine Learning:When writing your application, let your enthusiasm for machine learning shine through! Share specific projects or experiences that highlight your skills with LLMs and MLOps. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the job description. Highlight your programming skills and any relevant experience with LLM evaluations. We want to see how you fit into our team and contribute to our mission!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 Omaze
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss their architecture, evaluation methods, and any recent advancements in the field. This will show that you're not just familiar with the concepts but are genuinely passionate about them.
✨Showcase Your Coding Skills
Since strong programming skills are a must, be ready to demonstrate your proficiency in Python, Swift, or Go. You might be asked to solve coding problems on the spot, so practice common algorithms and data structures beforehand to boost your confidence.
✨Engage in Technical Discussions
During the interview, don’t shy away from engaging in discussions about architecture and code reviews. Share your thoughts on best practices and how you’ve contributed to MLOps/LLMOps in past projects. This will highlight your collaborative spirit and technical expertise.
✨Emphasise Continuous Learning
Apple values a learning attitude, so be sure to express your commitment to continuous improvement. Share examples of how you've sought feedback, learned new technologies, or adapted to changes in your previous roles. This will resonate well with their culture of innovation.
