At a Glance
- Tasks: Lead a team to enhance Alexa's speech and language solutions.
- Company: Join Amazon, a leader in innovative technology.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Opportunity to work with a talented team in London.
- Why this job: Make a real impact on cutting-edge AI technologies.
- Qualifications: Experience in team management and strong communication skills.
The predicted salary is between 31500 - 38500 £ per year.
Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) technologies.
Key job responsibilities:
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality.
- Support hiring and training of new Associates.
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis.
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities.
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies.
- Track quality and utilization metrics.
- File and track tickets, following up on blocks to productivity.
- Provide regular, formal & informal feedback to direct reports.
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean.
- Communicate effectively in English.
A day in the life: We are seeking an experienced team manager to join our operations in London to develop, manage, and support our Amazon Data Services team with Speech and language solutions.
About the team:
The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy.
AI/ML Team Manager, Artificial General Intelligence – Data Services in London employer: Amazon Inc.
At Amazon Development Centre in Edinburgh, we are committed to fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. As an Applied Scientist in our Intelligent Talent Acquisition team, you will have the opportunity to work on cutting-edge machine learning technologies that directly impact recruitment processes, while benefiting from mentorship and professional growth opportunities. Join us to make a meaningful difference in how talent is acquired globally, all within a vibrant city known for its rich history and dynamic tech scene.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Team Manager, Artificial General Intelligence – Data Services in London
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We think you need these skills to ace AI/ML Team Manager, Artificial General Intelligence – Data Services in London
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 Amazon Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Amazon Inc. 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 Amazon Inc.
✨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 Amazon Inc. 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.
