At a Glance
- Tasks: Lead innovative evaluation projects for Siri, shaping the future of AI assistants.
- Company: Join Apple, a leader in technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on human-centered design.
- Why this job: Make a real impact on millions of users with cutting-edge AI technology.
- Qualifications: Experience in data science, coding, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Evaluation is at the heart of how we build our product. As Siri AI becomes more powerful and offers richer experiences to our users, our evaluations have to keep pace. We are seeking a senior manager to help drive our evaluation efforts. The role will involve managing teams working on evaluation development and data science, and leading high-impact initiatives to bring state-of-the-art agentic evaluation to the whole Siri team.
As part of the work on next generation Siri, we are developing novel measurements of its quality. To ensure that the evaluation systems we are building are reliable, we plan benchmarking their accuracy on a wide range of features, locales, and platforms using humans in the loop.
Key Responsibilities
- Design and execute efficient data collection processes using humans in the loop
- Lead annotation efforts for various languages and devices
- Plan and manage the budget of annotator resourcing with Finance, Annotation Ops, and International team partners
- Track and improve the quality of the human judgements through revision of annotator training materials, clear annotation questions, annotator training, and efficient reviewing mechanisms
- Collaborate with other engineering teams to design and build a tooling ecosystem for managing and browsing rich datasets
Minimum Qualifications
- Agentic Coding proficiency to achieve data-science, data collection and visualisation tasks
- Good understanding of metrics, crowd science, data collection, annotation analysis, statistics
- Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines
- Excellent communication skills and the ability to thrive in a highly collaborative work environment
Preferred Qualifications
- Attunement to computational linguistics, language quality, human in the loop evaluation
- Good engineering practices to create sustainable and easy to use data management pipelines
- Python experience and other tools for data collection and visualisation
Benchmarking Project Lead, Siri Evaluation in Cambridge employer: Apple
At Apple, we pride ourselves on fostering a culture of innovation and collaboration, making us an exceptional employer for those looking to make a meaningful impact in the tech industry. Our Battersea office in London offers a vibrant work environment with ample opportunities for professional growth, competitive benefits, and a commitment to employee well-being. Join us to be part of a team that values creativity and encourages you to push boundaries while working with cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Benchmarking Project Lead, Siri Evaluation in Cambridge
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Benchmarking Project Lead, Siri Evaluation in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Apple.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Apple and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Apple
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Apple uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
