Front End Development Engineer-AI

Shenzhen - China

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title

Front End Development Engineer-AI

Job Description

Job Responsibilities

Ideation research prototype and implement CV and LLM-based features tailored to personal health products .
Maintain hands-on expertise with current CV and LLM frameworks libraries and tooling (PyTorch TensorFlow Hugging Face OpenCV ONNX etc.). Apply and map product requirements to appropriate AI solutions; evaluate feasibility performance latency and privacy considerations.
Design and run experiments to validate AI concepts with real-world data and consumer feedback.
Work with suppliers firmware teams embedded engineers and UX designers to integrate AI models into edge or cloud-enabled devices.
Ensure data quality labeling strategy and ML lifecycle management (training evaluation CI/CD for models).
Stay abreast of AI trends publish internal learnings and propose novel product concepts and features.
Optimize models for on-device inference (model compression quantization pruning) where necessary.
Address regulatory safety and privacy requirements for consumer health applications.

Required Qualifications

Bachelors or Masters degree in Computer Science Electrical Engineering AI/ML or related field.
3 years of hands-on experience in computer vision and/or LLMs ideally applied to consumer products or embedded systems.
Strong programming skills in Python; experience with PyTorch/TensorFlow and ML tooling.
Solid understanding of CV (image processing CNNs transformers for vision) and modern LLM concepts (transformers retrieval-augmented generation fine-tuning).
Experience with model deployment on edge devices or cloud platforms; knowledge of ONNX TensorRT TFLite is a plus.
Experience working with cross-functional teams and external suppliers. Creative and strong problem-solving skills and product mindsetability to translate consumer needs into AI features.
Good communication skills and ability to explain technical concepts to non-technical stakeholders.
Familiarity with data privacy regulations (GDPR CCPA) and ethical AI considerations is desirable.

Suggested Additional Requirements (recommended)

Experience in mobile or embedded AI for consumer devices.
Experience in building pipelines for data labeling augmentation and synthetic data generation.
Knowledge of MLOps practices: experiment tracking model versioning deployment monitoring.
Prior work with signal processing or sensor data (camera modules IR sensors) for personal care devices.
Portfolio of projects or GitHub demonstrating practical CV/LLM implementations.

Competencies & Behaviors

Curiosity & Learning: proactively follows AI research and translates it into applied solutions.
Product Orientation: prioritizes user value and manufacturability when proposing models.
Collaboration: works effectively with engineers designers suppliers and commercial teams.
Pragmatism: balances model performance with latency power and cost constraints.
Ownership & Delivery: takes end-to-end responsibility from prototype to integration.

How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 4 days per week.
Onsite roles require full-time presence in the companys facilities.
Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

Required Experience:

Job TitleFront End Development Engineer-AIJob DescriptionJob ResponsibilitiesIdeation research prototype and implement CV and LLM-based features tailored to personal health products .Maintain hands-on expertise with current CV and LLM frameworks libraries and tooling (PyTorch TensorFlow Hugging Face...

Job Title

Front End Development Engineer-AI

Job Description

Job Responsibilities

Ideation research prototype and implement CV and LLM-based features tailored to personal health products .
Maintain hands-on expertise with current CV and LLM frameworks libraries and tooling (PyTorch TensorFlow Hugging Face OpenCV ONNX etc.). Apply and map product requirements to appropriate AI solutions; evaluate feasibility performance latency and privacy considerations.
Design and run experiments to validate AI concepts with real-world data and consumer feedback.
Work with suppliers firmware teams embedded engineers and UX designers to integrate AI models into edge or cloud-enabled devices.
Ensure data quality labeling strategy and ML lifecycle management (training evaluation CI/CD for models).
Stay abreast of AI trends publish internal learnings and propose novel product concepts and features.
Optimize models for on-device inference (model compression quantization pruning) where necessary.
Address regulatory safety and privacy requirements for consumer health applications.

Required Qualifications

Bachelors or Masters degree in Computer Science Electrical Engineering AI/ML or related field.
3 years of hands-on experience in computer vision and/or LLMs ideally applied to consumer products or embedded systems.
Strong programming skills in Python; experience with PyTorch/TensorFlow and ML tooling.
Solid understanding of CV (image processing CNNs transformers for vision) and modern LLM concepts (transformers retrieval-augmented generation fine-tuning).
Experience with model deployment on edge devices or cloud platforms; knowledge of ONNX TensorRT TFLite is a plus.
Experience working with cross-functional teams and external suppliers. Creative and strong problem-solving skills and product mindsetability to translate consumer needs into AI features.
Good communication skills and ability to explain technical concepts to non-technical stakeholders.
Familiarity with data privacy regulations (GDPR CCPA) and ethical AI considerations is desirable.

Suggested Additional Requirements (recommended)

Experience in mobile or embedded AI for consumer devices.
Experience in building pipelines for data labeling augmentation and synthetic data generation.
Knowledge of MLOps practices: experiment tracking model versioning deployment monitoring.
Prior work with signal processing or sensor data (camera modules IR sensors) for personal care devices.
Portfolio of projects or GitHub demonstrating practical CV/LLM implementations.

Competencies & Behaviors

Curiosity & Learning: proactively follows AI research and translates it into applied solutions.
Product Orientation: prioritizes user value and manufacturability when proposing models.
Collaboration: works effectively with engineers designers suppliers and commercial teams.
Pragmatism: balances model performance with latency power and cost constraints.
Ownership & Delivery: takes end-to-end responsibility from prototype to integration.

Required Experience:

Key Skills

Bootstrap
CSS
Front-End Development
HTML5
React
Redux
Node.js
Angular
Less
JavaScript
backbone.js
Sass

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About Company

Philips

Philips has been revolutionizing lighting for over 125 years. We pioneered the world changing development of electric light and LED, and are now leading the way in intelligent lighting systems. Our deep understanding of how lighting positively affects people, enables us to deliver inn ... View more

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