Machine Learning Engineer

Dyson GmbH; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology enterprise is seeking a Machine Learning Engineer to enhance Dyson products through innovative AI features. This role involves model development, data analysis, and cross-functional collaboration, aimed at delivering cutting-edge technology. The ideal candidate will have a strong background in machine learning and a passion for problem-solving in a dynamic team environment.

Benefits

Transport allowance

Comprehensive medical care and insurance

Professional growth and leadership development opportunities

Qualifications

• Solid experience with machine learning frameworks and tools.
• Proficiency in Python or similar programming languages.
• Experience developing ML/AI features for consumer products is desirable.

Responsibilities

• Develop and deploy machine learning models and AI features.
• Evaluate and optimize models for accuracy, efficiency, and scalability.
• Analyze large datasets to extract insights and improve model performance.

Skills

Problem-solving

Communication

Machine learning frameworks

Python

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job description

About us

Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We’re driven by progress and thrive on the challenge of relentless improvement. We’re growing fast and our ambition is huge – more categories, more locations and more people.

About the role

We are seeking a Machine Learning engineer to join our team focused on developing innovative, intelligent features for Dyson products. In this role, you will leverage state-of-the-art machine learning techniques and AI tools to design, implement, and optimise algorithms that enhance our products’ performance, intelligence and user experience. You will collaborate closely with NPI, and other research teams to bring cutting-edge AI-driven products and features to market. Key responsibilities include data analysis, model development, prototyping and testing.

Develop and deploy machine learning models and AI features

Evaluate and optimize models for accuracy, efficiency, and scalability

Analyse large datasets to extract insights and improve model performance

Collaborate with cross-functional teams to deliver project and hand them over to downstream development teams

About you

Bachelor’s or Master’s degree or equivalent in Computer Science, Engineering, or related field

Solid experience with machine learning frameworks and tools

Proficiency in Python or similar programming languages

Strong problem-solving and communication skills

Experience developing and ML/AI features for consumer products is desirable

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.
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Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

The Dyson Institute of Engineering and Technology is unlike any other higher education institution. We aim to develop the best engineers in the world by combining rigorous academic programmes with work on future Dyson products and real responsibility from day one. Working and studying, learning and doing, while developing pioneering technologies and radical new designs.