Front End Development Engineer-AI at Philips

Shenzhen, Guangdong Province, China -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, LLMs, Python, PyTorch, TensorFlow, Machine Learning, Data Privacy, Model Deployment, Collaboration, Problem Solving, Experiment Design, AI Solutions, Consumer Health, Model Optimization, Ethical AI, MLOps

Industry

Hospitals and Health Care

Description

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 Bachelor’s or Master’s 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 mindset—ability 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 company’s facilities. Field roles are most effectively done outside of the company’s 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 won't 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 you’re 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. At Philips, we believe that every human matters. As a global health-tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life. For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health. Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success. It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism. To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace. Know Your Rights

Responsibilities

The role involves ideation, research, prototyping, and implementing AI features for personal health products. It also includes maintaining expertise in current AI frameworks and collaborating with cross-functional teams to integrate AI models into devices.