applied scientist Work, Jobs in cambridge, cam (with Salaries)

Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
18h
Applied Scientist, AGI Information
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
9d
Senior Investigator Scientist | PNAC | Dr Felix Randow | LMB 2392
UK Research and Innovation (UKRI) —Cambridge
- Full-time
- Doctoral degree
- Mentoring
- Leadership
6d
Scientist / Senior Scientist, Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- Laboratory experience
- AWS
Senior Scientist - Computational Protein Design/Bioinformatics
Abcam —Cambridge
- Full-time
- Machine learning
- AI
- Python
13d
Senior Numerical Physics / Applied Mathematician
PA Consulting —Melbourn
- Full-time
- Business development
- Business
- Communication skills
- Annual leave
OneSource Laboratory Services Site Director
PerkinElmer —Stevenage
- Microsoft Powerpoint
- Microsoft Outlook
- Customer service
Medical Device Regulatory and Quality Consultant
PA Consulting —Melbourn
- Full-time
- Annual leave
Principal Bioinformatician
Tagomics —Cambridge
- Full-time
- Hybrid work
- Management
- Doctoral degree
- Data analysis skills
Quick apply
8d
Associate Programme Manager (Infrastructure Construction)
AECOM —Cambridge
- Full-time
- Hybrid work
- Management
- Leadership
Senior Director Translational Data Sciences
GlaxoSmithKline —Stevenage
- £136,500 - £227,500 a year
- Full-time
- Hybrid work
- Management
- Doctoral degree
- Computer Science
- Annual leave
Programme Management Office lead (Infrastructure Construction)
AECOM —Cambridge
- Full-time
- Hybrid work
- Microsoft Office
- Leadership
Data Platform Manager
European Tyre Enterprise Ltd —Letchworth
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Employee discount

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Applied Scientist, AGI Information
Evi Technologies Limited —Cambridge
Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production.
Applied Scientist I
Entrust —London
Work with product and engineering to improve our world-class identity-focused products. By assessing government- issued identity documents and facial biometrics…

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Sr. Applied Scientist, Alexa International

Amazon UK Services Ltd. -
Cambridge

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Job details

Full-time
18 hours ago

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 jobs in cambridge, cam

Sr. Applied Scientist, Alexa International

Applied Scientist, AGI Information

Senior Applied Scientist (Computer Vision), Camera and Sensors

Senior Investigator Scientist | PNAC | Dr Felix Randow | LMB 2392

Scientist / Senior Scientist, Computational Biology

Senior Scientist - Computational Protein Design/Bioinformatics

Senior Numerical Physics / Applied Mathematician

OneSource Laboratory Services Site Director

Medical Device Regulatory and Quality Consultant

Principal Bioinformatician

Associate Programme Manager (Infrastructure Construction)

Senior Director Translational Data Sciences

Programme Management Office lead (Infrastructure Construction)

Data Platform Manager

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