Data and AI Scientist

Philips•Cambridge, MA

2d•$129,000 - $205,000•Onsite

About The Position

Data and AI Scientist (Cambridge, MA) We're seeking an applied Data Scientist with hands-on expertise in Generative AI and Machine Learning Engineering to join our team. In this role, you will design and build innovative and ethically responsible Generative AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector.

Requirements

Ph.D. in Computer Science, Engineering, or a related field focused on AI solutions with at least 3+ years of real-world professional experience
Proficiency in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)
Strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLMs, such as RAG, prompt engineering, data synthesis, automatic evaluation, and fine-tuning
Well-versed in provisioning AWS cloud infrastructure
Proficient in setting up CI/CD pipelines using GitHub Action
Ability to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
Must reside in or within commuting distance to Cambridge, MA.

Nice To Haves

Multi-agent system design and orchestration techniques
Build and manage agents using Bedrock, LangGraph, or other toolkits on AWS, including integration with other cloud services
Familiarity with healthcare data systems and clinical data formats (e.g., patient records, IPS bundles).
Familiarity with healthcare data systems and clinical data (e.g., patient records, monitoring, imaging, etc)

Responsibilities

Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more.
Clean, preprocess, and curate data for evaluation, fine-tuning, and training.
Setup cloud infrastructure and agentic frameworks using platforms like AWS and Microsoft.
Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights.
Keep up with the latest advancements in generative AI research and integrate new techniques into the development process.
Collaborate with frontend and platform engineers to ensure seamless integration and usability
Work in cross-functional teams, particularly in healthcare, AI, and cloud platforms.

Benefits

comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement

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