At a Glance
- Tasks: Lead evaluation efforts for Siri and shape product decisions across Apple platforms.
- Company: Join Apple, a leader in innovation and technology.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative environment focused on impactful initiatives and privacy.
- Why this job: Blend AI with human design to enhance user experiences on iconic devices.
- Qualifications: Experience in data science and team leadership required.
The predicted salary is between 81000 - 99000 £ per year.
Apple is seeking a senior manager to drive evaluation efforts for Siri, shaping how agentic evaluation informs product decisions across i OS, i Pad OS, mac OS, watch OS and vision OS.
You will lead evaluation development and data science teams, delivering high-impact initiatives with privacy by design.
This role blends cutting-edge AI with human-centered design, requiring cross-team collaboration, rigorous experimentation, and scalable data practices to improve user experiences across Apple platforms.
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Senior Manager, Siri Evaluation & AI Science in Cambridge employer: Omaze
Omaze is an exceptional employer located in Greater London, offering a vibrant work culture that prioritises employee well-being and growth. With generous benefits such as stock options, 25 days of annual leave, and private health insurance, we foster an environment where our Customer Experience Leaders can thrive and make a meaningful impact on customer interactions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Siri Evaluation & AI Science in Cambridge
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Omaze.
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We think you need these skills to ace Senior Manager, Siri Evaluation & AI Science in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Omaze, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Omaze. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Omaze
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Omaze!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
