Applied scientist, alexa international Work, Jobs in Mepal, Cam (with Salaries)

Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
11d
Applied Scientist, Edge AI and Science
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Numerical Physics / Applied Mathematician
PA Consulting —Melbourn
- Full-time
- Business development
- Business
- Communication skills
- Annual leave
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
9d
Data Scientist/Engineer
Caterpillar —Peterborough
- £49,519 - £74,278 a year
- Full-time
- AWS
- Machine learning
- Software development
- Annual leave
12d
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
5d
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
Senior Health Economist
Central East Integrated Care Board —Ely
- £57,528 - £64,750 a year
- Full-time
5d
Scientist / Senior Scientist, Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- Laboratory experience
- AWS
Research Scientist (Visual Generative AI & World Models)
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
Medical Device Regulatory and Quality Consultant
PA Consulting —Melbourn
- Full-time
- Annual leave
Senior Robotics & Lab Automation Engineer
Sartorius —Royston
- Full-time
- Hybrid work
- Doctoral degree
- Laboratory experience
- Master's degree
- Free parking
- Annual leave
Machine Learning Engineering Manager
Compare the Market —Peterborough
- Hybrid work
- Machine learning
- No degree
- APIs
Quick apply
Embedded Software Engineer
PA Consulting —Melbourn
- Full-time
- Schematics
- Engineering
- C++
- Annual leave
Consumer Electronics Engineer
PA Consulting —Melbourn
- Full-time
- Engineering
- Communication skills
- Annual leave
Associate Programme Manager (Infrastructure Construction)
AECOM —Cambridge
- Full-time
- Hybrid work
- Management
- Leadership
Lead Hardware Design Engineer
PA Consulting —Melbourn
- Full-time
- Microsoft Outlook
- Engineering
- Communication skills
- Annual leave

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Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
Your work will directly impact customers across multiple languages in the form of natural, expressive, and locale-appropriate voice experiences for Alexa+.
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
You will own solutions end-to-end: from ideation and research through to production deployment, enabling conversational assistants to support external tools,…
11d

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Sr. Applied Scientist, Alexa International

Amazon UK Services Ltd. -
Cambridge

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Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
Spark
NumPy
R
Java
Master's degree
C++
Machine learning
Distributed systems
Deep learning
SciPy
AI
Python
Hadoop

Full job description

DESCRIPTION

The Alexa International Science team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong background in speech models (understanding and generation) and deep learning, to help build industry-leading Generative AI technology with speech-to-speech models and multilingual systems. At this level, you will drive cross-team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions that have broad impact across Alexa's global products.

Key job responsibilities
As a Senior Applied Scientist with the Alexa International team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multilingual speech generation, text-to-speech synthesis, and speech-to-speech models. Your work will directly impact customers across multiple languages in the form of natural, expressive, and locale-appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non-English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast-paced environment, tackle complex challenges in low-resource language settings, excel at delivering impactful solutions while iterating based on customer feedback, and are able to influence and align multiple teams around a shared scientific vision for international speech quality.

A day in the life
You will start your day reviewing experiment results and iterating on model architectures for speech generation. You will collaborate with software engineers to optimize model performance for production deployment, and partner with product managers to align research priorities with customer needs. You will participate in science reviews, paper reading groups, and brainstorming sessions with fellow scientists across the organization. Your work directly impacts how Alexa sounds and communicates with customers in international markets, making every day an opportunity to solve meaningful problems at global scale.

About the team
The Alexa International Tech team helps Alexa' global expansion scalable, reliable, and locally relevant for customers. We build the science, engineering, evaluation, and quality platforms behind global AI product delivery: multi-model AI orchestration, multilingual model and data readiness, speech and language quality, reward modeling, synthetic data generation, automated evaluation, developer tooling, defect analysis, and launch mechanisms.

Our work sits at the intersection of applied AI, speech, distributed systems, developer experience, and customer quality automation. The goal is simple but hard: help teams build Alexa+ experiences once and scale them across languages, countries, devices, models, and customer expectations without reinventing the same mechanisms every time.

BASIC QUALIFICATIONS

Master's degree, or PhD
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience in applied research

PREFERRED QUALIFICATIONS

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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applied scientist, alexa international jobs in mepal, cam

Sr. Applied Scientist, Alexa International

Applied Scientist - LLM, Alexa

Applied Scientist, Edge AI and Science

Senior Numerical Physics / Applied Mathematician

Applied Scientist, Silicon and Systems Group Edge AI

Data Scientist/Engineer

Senior Machine Learning Scientist

Senior Applied Scientist (Computer Vision), Camera and Sensors

Senior Health Economist

Scientist / Senior Scientist, Computational Biology

Research Scientist (Visual Generative AI & World Models)

Medical Device Regulatory and Quality Consultant

Senior Robotics & Lab Automation Engineer

Machine Learning Engineering Manager

Embedded Software Engineer

Consumer Electronics Engineer

Associate Programme Manager (Infrastructure Construction)

Lead Hardware Design Engineer

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