Applied scientist, edge ai and science Work, Jobs in Cambridge Cb3 (with Salaries)

Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —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
Senior Applied Scientist (Computer Vision), Camera and Sensors
Evi Technologies Limited —Cambridge
- Full-time
- Java
- Master's degree
- C++
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Bachelor's degree
- Machine learning
- In-person
- Life insurance
Quick apply
Application Scientist
Intellegens —Cambridge
- £38,000 - £48,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
- Free parking
- Sick pay
Quick apply
2d
AI Research Engineer
Graphcore —Cambridge
- Doctoral degree
- Master's degree
- C++
- Annual leave
- Employee assistance programme
12d
Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611
UK Research and Innovation (UKRI) —Cambridge
- £52,253 - £60,834 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
3d
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Java
- Master's degree
Experimental Physics Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Data analysis skills
- Annual leave
5d
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Scientist / Senior Scientist, Computational Biology
Altos Labs —Cambridge
- Doctoral degree
- Laboratory experience
- AWS
Staff AI Platform Engineer
Altos Labs —Cambridge
- £97,300 - £128,000 a year
- Computer Science
- Master's degree
- AWS
Power and Performance Engineer, PAI Platforms and Performance Analysis
Arm —Cambridge
- £97,300 - £131,700 a year
- Hybrid work
- Engineering
- Analysis skills
- No degree
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Project Manager (AI models)
Qureight Ltd —Cambridge
- £56,000 - £61,000 a year
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
4d
AI Quality Analyst
Aykua Health —Cambridge
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- Laboratory experience
- Analysis skills
- Bachelor's degree
- Employee stock ownership plan
Quick apply
9d
Principal Scientist
Cancer Research UK —Cambridge
- £57,000 - £64,400 a year
- Full-time
- Doctoral degree
- IT
- Communication skills
2d
Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Maths
- Machine learning
Quick apply
Sr Manager, Siri Agentic Evaluation
Apple —Cambridge
- Team management
- Software development
- AI
1h
Vulnerability Researcher - Consultant
Awerian —Cambridge
- Full-time
- C++
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
11d

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applied scientist, edge ai and science jobs near cambridge cb3

Applied Scientist, Silicon and Systems Group Edge AI

Evi Technologies Limited -
Cambridge

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Job details

Full-time

Qualifications

Data mining
Law
Doctoral degree
Data structures
UNIX
Java
Master's degree
C++
Machine learning
Distributed systems
Software development
Linux
AI
Python

Full job description

DESCRIPTION

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for exceptional scientists to join our Applied Science team to advance the state-of-the-art in developing efficient multimodal language models across our product portfolio. Through close hardware-software integration, we design and train models for resource efficiency across the hardware and software tech stack.

The Silicon and Solutions Group Edge AI team is looking for a talented Applied Scientist who will develop new evaluation methods for multimodal language models and agents for our devices, including audio and vision experiences.

Key job responsibilities

Collaborate with cross-functional engineers and scientists to advance the state of the art in multimodal model evaluations for devices, including audio, images, and videos
Invent and validate reliability for novel automated evaluation methods for perception tasks, such as fine-tuned LLM-as-judge
Develop and extend our evaluation framework(s) to support expanding capabilities for multimodal language models
Analyze large offline and online datasets to understand model gaps, develop methods to interpret model failures, and collaborate with training teams to enhance model capabilities for product use cases
Work closely with other scientists, compiler engineers, data collection, and product teams to advance evaluation methods

A day in the life
As a Scientist with the Silicon and Solutions Group Edge AI team, you'll contribute to innovative methods for evaluating new product experiences and discover ways to enhance our model capabilities and enrich our customer experiences. You'll have opportunities to collaborate across teams of engineers and scientists to bring algorithms and models to production.

About the team
Our Edge AI science team brings together our unique skills and experiences to deliver state-of-the-art multimodal AI models that enable new experiences on Amazon devices.

BASIC QUALIFICATIONS

PhD, or a Master's degree and experience in CS, CE, ML or related field
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience in building machine learning models for business application

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development

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, edge ai and science jobs in cambridge cb3

Applied Scientist, Silicon and Systems Group Edge AI

Applied Scientist - LLM, Alexa

Senior Applied Scientist (Computer Vision), Camera and Sensors

AI/ML Research Consultant

Application Scientist

AI Research Engineer

Machine Learning Engineer | Neurobiology | Dr Albert Cardona | LMB 2611

Sr. Applied Scientist, Alexa International

Experimental Physics Consultant

C++ AI/ML Software Engineer

Scientist / Senior Scientist, Computational Biology

Staff AI Platform Engineer

Power and Performance Engineer, PAI Platforms and Performance Analysis

Senior Machine Learning Scientist

Project Manager (AI models)

AI Quality Analyst

Principal Scientist

Foundation Model Engineer

Sr Manager, Siri Agentic Evaluation

Vulnerability Researcher - Consultant

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