$129,000 to $205,000; not specified; generous pto,...
Fully remote
Generative ai solutions
Machine learning engineering
Nlp and llm-based solutions
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
Job Summary
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.
Keep up with the latest advancements in generative AI research and integrate new techniques into the development process.
Employees are eligible to participate in our 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 and much more.
Matching Summary
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.
Salary
$129,000 to $205,000; Not specified; Generous PTO, 401k (up to 7% match), HSA, stock purchase plan, education reimbursement
Skills & Requirements
Must-have
Generative AI solutions
Machine Learning Engineering
NLP and LLM-based solutions
Python and relevant libraries
AWS cloud infrastructure
CI/CD pipelines using GitHub Action
Nice-to-have
multi-agent system design
healthcare data systems
clinical data formats
collaboration skills
cross-functional teams
Key Requirements
Ph.D. in Computer Science, Engineering, or related field
3+ years of real-world professional experience
Experience with Bedrock, LangGraph, or other toolkits on AWS