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Job Information

Philips Senior Machine Learning Engineer (Health, Wellness, Digital Therapeutics) in Pittsburgh, Pennsylvania


In this role, you have the opportunity to

Be an integral member our Advanced Innovation team where you will develop new-to-world health, wellness and medical solutions in the areas of Sleep and Respiratory Care.

You are responsible for

  • Drive innovation by building rapid prototypes for experimentation

  • Leveraging statistics, natural language processing (NLP) and machine learning (ML) techniques to create scalable solutions for business problems, customer engagement and personalized solutions

  • Developing and implementing predictive models for real-time predictions

  • Building real-time software applications using latest technologies

  • Collaborating directly with universities, research institutes and industry experts in the field to leverage their guidance and expertise to solve customer needs

  • Analyzing and extracting relevant information from large amounts data (structured and unstructured) to help define customer needs and solutions

  • Designing, experimenting and evaluating highly innovative models for predictive learning

  • Partnering with marketing, design and research staff to optimize operations and solutions using AI and NLP

You are a part of

Our Sleep and Respiratory Care organization. We specialize in the use of data to anticipate customer needs, create technology solutions for customer engagement, and individualize customer experiences. Successful candidates, must relish change, respond to challenges and be creative. Startup, small company or entrepreneurial experience or attitude desired along with broad software application experience, data analytics, and people skills.

To succeed in this role, you should have the following skills and experience

  • Bachelor’s degree or higher (Ph.D. is a plus) in computer science, mathematical science, biomedical engineering, electrical engineering or related technical discipline required

  • 4+ years of software development experience required using Java or Python

  • Solid machine learning and natural language processing background with a strong backing of technical projects showing leadership and initiative

  • Experience with deep learning frameworks such as TensorFlow, PyTorch, DyNet, Keras is a plus

  • Strong business problem solving ability

In return, we offer you

Sharpen your talents with new challenges in our dynamic organization. As a market-driven company, we’re used to listening to our customers & apply the same thinking to our employees. We offer a competitive salary, outstanding benefits and flexibility in a career with a positive and supportive atmosphere in which to develop your talents further.

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

It is the policy of Philips to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status or a person’s relationship or association with a protected veteran, including spouses and other family members, marital or domestic partner status, or any other category protected by federal, state and/or local laws.

As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation 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.

Equal Employment and Opportunity Employer/Disabled/Veteran