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- Tasks: Join our team to develop cutting-edge algorithms for human-like speech technology.
- Company: Be part of Amazon's innovative Text-to-Speech Research team in Cambridge, UK.
- Benefits: Enjoy a collaborative environment with access to vast data and computing resources.
- Why this job: Make a real impact on customer experiences through advanced speech technology.
- Qualifications: PhD or Master's in relevant fields; programming skills in Java, C++, or Python required.
- Other info: We value diversity and offer workplace accommodations for applicants.
The predicted salary is between 43200 - 72000 £ per year.
We are the Text-to-Speech Research team, dedicated to enhancing core technology for Alexa's voice to make it more human-like and expressive. We seek a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in Cambridge, UK. Our mission is to advance computer-generated speech to provide the best experience for our customers.
As an applied scientist, you will collaborate with talented peers to develop novel algorithms and modeling techniques to push the state-of-the-art in spoken language generation. Your work will directly impact our customers through products and services utilizing speech and language technology. You will leverage Amazon's diverse data sources and large-scale computing resources to accelerate progress in computer-generated speech.
Position Responsibilities:
- Research and implement novel Machine/Deep Learning approaches that add value to Amazon.
- Lead and mentor junior engineers and scientists.
- Participate in designing, developing, evaluating, deploying, and updating data-driven models and analytical solutions for spoken language applications.
- Develop and apply statistical modeling methods (e.g., deep neural networks), optimizations, and other ML techniques for various spoken language engineering applications.
BASIC QUALIFICATIONS
- PhD, or a Master's degree with experience in CS, CE, ML, or related fields.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Proficiency in programming languages such as Java, C++, Python, or related.
- Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Experience building machine learning models for business applications.
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux.
- Experience in professional software development.
Amazon is an equal opportunity employer committed to diversity and inclusion. We base our recruiting decisions on experience and skills, valuing your passion to discover, invent, simplify, and build.
Deep Learning Scientist employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deep Learning Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning and machine learning, especially in the context of speech technology. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending conferences or webinars related to deep learning and speech technology. Networking with professionals in the field can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives that involve machine learning and speech applications. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions relevant to machine learning. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Deep Learning Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Deep Learning Scientist position. Familiarise yourself with the specific technologies and methodologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in Machine/Deep Learning, programming languages, and any publications or patents. Emphasise your contributions to projects that align with the role's requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for advancing computer-generated speech and your ability to collaborate with peers. Mention specific examples of your work that demonstrate your expertise in the field.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A well-presented application reflects your attention to detail and professionalism.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Research
Be prepared to discuss your previous research and any publications or patents you've contributed to. Highlight how your work aligns with the advancements in machine/deep learning, especially in the context of spoken language generation.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills, particularly in languages like Python, Java, or C++. Be ready to solve coding problems or discuss algorithms during the interview to showcase your technical expertise.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with peers, think of examples where you've successfully worked in a team. Be ready to discuss how you can lead and mentor junior engineers, as this is a key responsibility of the position.
✨Understand the Company’s Mission
Familiarise yourself with Amazon's goals regarding voice technology and customer experience. Be prepared to discuss how your skills and experiences can contribute to enhancing the human-like quality of Alexa's voice.
